Kenneth Rose

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Professor

Department of Electrical and Computer Engineering University of California

Santa Barbara, CA 93106 Tel: (805) 893-7024, Fax: (805) 893-3262

E-mail: rose@ ece.ucsb.edu

RESEARCH PROFILE Multidisciplinary approaches in Signal Processing and Information Theory with applications in: General Data Compression; General Source and Source-Channel Coding; Video and Audio Compression, Processing, Storage, Streaming and Networking; General Pattern Recognition, Speech Recognition; Biological Signal Processing; Nonconvex Optimization.

EDUCATION • 1991, Ph.D., California Institute of Technology (Caltech) • 1987, M.Sc., Tel Aviv University • 1983, B.Sc., Tel Aviv University

ACADEMIC (FACULTY) APPOINTMENTS

• 2000: Professor, Department of Electrical and Computer Engineering, University of California, Santa Barbara.

• 1994: Associate Professor, UCSB. • 1991: Assistant Professor, UCSB.

AWARDS AND RECOGNITION

• Fellow of the IEEE, 2003 • William R. Bennett Prize-Paper Award from the IEEE Communications Society, 1990 • IEEE Signal Processing Society Best Paper Award, 2004 • IEEE Signal Processing Society Best Paper Award, 2007 • Senior co-author of paper receiving the IEEE Signal Processing Society Young Author Best

Paper Award, 2015 • Senior co-author of papers receiving Best Student Paper Awards in conferences:

• Eurospeech, Aalborg, Denmark, 2001 • IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, 2003 • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Taipei, 2009

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• Audio Engineering Society (AES) Convention, San Francisco, 2010 • IEEE International Conference on Multimedia and Expo (ICME), Melbourne, Australia,

2012

SAMPLE OF ACHIEVEMENTS AND IMPACT HIGHLIGHTS

• Cross-disciplinary impact: Fundamental work on information and estimation theoretic approaches to optimization has been widely applied by others in many scientific and engineering disciplines besides communications and signal processing, including: physics, chemistry, biology, astronomy, ecology, psychology, geology, medicine, linguistics, neuroscience, chemical engineering, materials, and economics.

• Deterministic annealing: A powerful optimization tool based on principles of information theory and motivated by analogy to statistical physics. It replaces stochastic simulations of simulated annealing with deterministic optimization of expectation functions (free energy in physics). Specific methods derived for a large spectrum of problems including clustering, classification, regression, signal compression, pattern and speech recognition, and general non-convex optimization. Derived and extended in a long sequence of papers (in Phys. Rev. Letts [78], IEEE Trans. on IT [75,71], PAMI [74], SP [67,66], COM [73]) the earlier subset was subsumed in an invited paper in the Proceedings of IEEE 1998 [63], as well as chapters in several pattern recognition and signal compression textbooks. It has been widely applied and extended in numerous disciplines, with notable current activity in bioinformatics and in high energy physics (e.g., collision vertices analysis for Higgs boson and other particles).

• Information Theory: Early work on analysis and computation of the rate-distortion function

showed that the optimal reconstruction distribution is surprisingly almost always discrete, with continuity only when the Shannon lower bound is tight. A direct analogy between RD computation and statistical physics was found where moving up the RD curve is equivalent to an annealing process and where the cardinality of the discrete reconstruction support grows by a sequence of phase transitions. This also led to an efficient RD computation method involving deterministic annealing (IEEE Trans IT, 1994, [71]). Later work made contributions to zero-error distributed coding and relations to graph entropy (IEEE Trans IT, [48,41,33,30]), scalable rate-distortion theory (IEEE Trans IT, [47,45,43,37]) and most recently work on extending the common information concept to lossy settings (IEEE Trans IT [11]) and zero delay source channel coding (IEEE Trans IT [8,5]), and more.

• Video coding and networking: In departure from existing heuristic techniques to estimate

end-to-end distortion in video communications, an approach was proposed for exact distortion estimation accounting for all factors including compression, packet loss, error-propagation and decoder concealment. The recursive optimal per-pixel estimate (ROPE) efficiently calculates at the encoder the first and second moments of decoder reconstructed pixels, which determine the expected end-to-end distortion. This discovery has had a significant and growing impact on research work in the video coding and networking community. The main early paper appeared in IEEE JSAC 2000 [57], and was extended in [31,27], as well as in numerous papers by others. A high impact recent contribution is to image coding and intra coding in video, which showed that the optimal transform after

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directional spatial prediction is in fact the asymmetric sine transform (IEEE Trans IP [17]), which received the IEEE Signal Processing Society young author best paper award in 2015, and is now part of the latest standard codecs, including MPEG HEVC and Google/YouTube’s VP9.

• Scalable coding: Several estimation-theoretic approaches to basic problems in scalable

signal compression, and their application to video and audio coding and transmission. One approach solves the problem of optimal scalable prediction, while fully accounting for all information available to the decoder, appeared in IEEE Trans. IP, 2001 [51], and received the IEEE Signal Processing Society best paper award in 2004. Another is concerned with optimal scalable audio coding subject to perceptual quality criteria, appeared in IEEE Trans. ASLP, 2006 [24], and received the IEEE Signal Processing Society best paper award in 2007.

PATENTS (SAMPLE)

• 9,654,787 (2017), Scalable predictive coding method and apparatus • 9,406,307 (2016), Method and apparatus for polyphonic audio signal prediction in coding

and networking systems • 9,307,256 (2016), Method and apparatus for spatially scalable video compression and

transmission • 8,761,243 (2014), Technique to enable efficient adaptive streaming and transcoding of video

and other signals • 7,756,700 (2010), Perceptual harmonic cepstral coefficients as the front-end for speech

recognition • 7,639,739 (2009), Technique to enable efficient adaptive streaming and transcoding of video

and other signals • 7,337,107 (2008), Perceptual harmonic cepstral coefficients as the front-end for speech

recognition • 7,289,675 (2007), Scalable predictive coding method and apparatus • 6,947,886 (2005), Scalable compression of audio and other signals • 6,917,714 (2005), Scalable predictive coding method and apparatus • 6,731,811 (2004), Scalable predictive coding method and apparatus • 5,889,891 (1999), Universal codebook vector quantization with constrained storage • Several provisional, pending, as well as allowed but not yet issued, applications (in

multimedia compression and networking)

EXTRAMURAL FUNDING (SAMPLE)

• Towards optimal resilience to packet loss in predictive video coding and networking, Google, $78K, 2017-2018 (PI)

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• Motion compensated compression of 360o video, InterDigital, $40K, 2017-2018 (PI) • Compression of higher order ambisonics, Google, $120K, 2016-2017 (PI) • Optimal adaptation of motion-compensated prediction and decorrelating transforms in video

coding, Google, $170K, 2016-2017 (PI) • Video compression and streaming, LG, $150K, 2015-2016 (PI) • Error-resilient predictive speech coding for low delay applications, Mozilla, $70K, 2015-

2016 (PI) • Towards jointly optimal prediction, transform coding and entropy coding in lossy video

compression, Google, $120K, 2015-2016 (PI) • Advances in video compression and streaming, LG, $42K, 2014-2015 (PI) • The common information framework and optimal coding for layered storage and

transmission of audio signals, NSF, $495K, 2013-2017 (PI) • Joint optimization of spatiotemporal prediction and transform coding in video compression

and networking, Google, $170K, 2013-2014 (PI) • Research in signal compression and communications, Broadcom, $50K, 2013-2015 (PI) • Joint prediction-transform design for video coding, Google, $170K, 2012-2013 (PI) • Analog networking: distributed source-channel approaches to delay and resource constrained

communications, NSF, $302K, 2011-2015 (PI). • An integrated framework for distributed source coding and dispersive information routing,

NSF, $419K, 2010-2014 (PI). • A resource-scalable unifying framework for aural signal coding, NSF, $498K, 2009-2013

(PI). • CDI: Computational challenges in the discovery and understanding of complex biological

structures through multimodal imaging, NSF, $1.9M, 2009-2013 (co-PI). • III-CXT: Working with uncertain data in exploring scientific images, NSF, $3M, 2008-2015

(co-PI). • Optimization of distributed coding for sources with memory and applications in sensor

networks, NSF, $350K, 2007-2011 (PI). • Efficient compression and processing of audio and video signals, UC-MICRO and various

industrial sponsors, $890K, 2004-2009 (PI). • Fast approximate search and retrieval of high dimensional data, NSF, $390K, 2004-2008

(PI). • ITR: Next generation bio-molecular imaging and information discovery, NSF, $9.4M, 2003-

2008 (co-PI). • IGERT: Interactive Digital Multimedia, NSF, $3M, 2002-2007 (co-PI). • Digital campus: scalable information services on a campus-wide wireless network, NSF,

$1.4M, 2000-2005 (co-PI). • CISE Research Instrumentation: Research in computational multimedia, NSF, $200K, 2000-

2002 (PI). • Structure-optimized speech recognition with deterministic annealing, NSF, $381K, 1999-

2002 (PI).

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• Scalable audio compression for multimedia applications, NSF, $426K, 1997-2000 (co-PI). • Efficient compression and processing of audio and video signals, UC-MICRO and various

industrial sponsors, $1.9M, 1997-2004 (PI). • Global optimization of vector quantizer based communication systems, NSF, $564K, 1994-

1998 (PI). • Vector quantization techniques in signal compression, UC-MICRO and various industrial

sponsors, $1.5M, 1991-1996 (co-PI). A sample of industrial sponsors of research projects at UCSB: Broadcom, Cisco, Conexant, Dolby, Google, InterDigital, LG, Lockheed Martin, Lucent, Microsoft, Mozilla, Qualcomm, Rockwell, Texas Instruments.

PROFESSIONAL ACTIVITIES (SAMPLE)

• Area Editor (Speech, Image, Video and Signal Processing), IEEE Transactions on Communications (2003-2008).

• Editor for Source-Channel Coding, IEEE Transactions on Communications (1999-2008). • Member, IEEE Signal Processing Society’s Image and Multidimensional Signal Processing

Technical Committee (2003-2009). • Member, IEEE Communications Society’s Communication Theory Technical Committee

(since 1997). • Member, IEEE Signal Processing Society’s Multimedia Signal Processing Technical

Committee (2007-2010) • Co-Chair, Technical Program Committee, IEEE Workshop on Multimedia Signal Processing,

Cannes, France (2001). • General co-Chair, Multimodal User Authentication Workshop, Santa Barbara (2003) • Co-Organizer, Multimodal User Authentication Workshop, Toulouse (2006). • Guest Editor, EURASIP Journal on Applied Signal Processing, special issue on multimedia

signal processing, January 2003. • Chair, Workshops and Special Sessions, IEEE International Conference on Image

Processing, San Diego (2008). • Awards Board, EURASIP (2010-2017) • Invited lecture, IEEE Information Theory Workshop, Jerusalem, Israel (2015) • Plenary Chair and Member, Organizing Committee, IEEE International Conference on Image

Processing, Quebec City (2015) • Member, Organizing Committee, International Liaison, and Area Chair, EUSIPCO 2015,

Nice, France • Member, technical program committee, and/or Area Chair, for numerous major IEEE and

European conferences

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PHD SUPERVISION

• Thesis advisor of 28 PhD students who graduated from UCSB and went on to pursue careers in academia and industry.

• Currently supervising 7 additional PhD students in his lab

PEER REVIEWED PUBLICATIONS

Journal Papers 1. R. Shenoy, M.-C. Shih and K. Rose, “Deformable registration of biomedical images using

2D hidden Markov models,” IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4631-4640, October 2016.

2. L. Megalini, R. Shenoy, K. Rose, J.S. Speck, J.E. Bowers, S. Nakamura, D.A. Cohen and S.P. DenBaars, “Estimation of roughness-induced scattering losses in III-nitride laser diodes with a photoelectrochemically etched current aperture,” Physica Status Solidi A, vol. 213, no. 4, pp. 953-957, April 2016.

3. K. Viswanatha, E. Akyol and K. Rose, “Combinatorial message sharing and a new achievable region for multiple descriptions,” IEEE Transactions on Information Theory, vol. 62, no. 2, pp. 769-792, February 2016.

4. M. Mehmetoglu, E. Akyol and K. Rose, “Deterministic annealing based optimization for zero-delay source-channel coding in networks,” IEEE Transactions on Communications, vol. 63, no.12, pp. 5089-5100, December 2015.

5. E. Akyol, K. Rose and T. Basar, “Optimal zero-delay jamming over an additive noise channel,” IEEE Transactions on Information Theory, vol. 61, no. 8, pp. 4331-4344, August 2015.

6. L. Megalini, L.Y. Kuritzky, J.T. Leonard, R. Shenoy, K. Rose, S. Nakamura, J.S. Speck, D.A. Cohen and S.P. DenBaars, “Selective and controllable lateral photelectrochemical etching of nonpolar and semipolar InGaN/GaN multiple quantum well active regions,” Applied Physics Express, vol. 8, no. 6, pp. 066502, June 2015.

7. K. Viswanatha, S. Ramaswamy, A. Saxena and K. Rose, “Error/erasure-resilient and complexity-constrained zero-delay distributed coding for large scale sensor networks,” ACM Transactions on Sensor Networks, vol. 11, no. 2, pp. 35:1-33, December 2014.

8. E. Akyol, K. Viswanatha, K. Rose and T.A. Ramstad, “On zero-delay source-channel coding,” IEEE Transactions on Information Theory, vol. 60, no. 12, pp. 7473-7489, December 2014.

9. K. Viswanatha, E. Akyol and K. Rose, “An achievable region for joint compression and dispersive information routing for networks,” IEEE Transactions on Information Theory, vol. 60, no. 9, pp. 5433-5456, September 2014.

10. J. Han, V. Melkote and K. Rose, “An estimation-theoretic framework for spatially scalable video coding,” IEEE Transactions on Image Processing, vol. 23, no. 8, pp. 3684-3697, August 2014.

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11. K. Viswanatha, E. Akyol and K. Rose, “The lossy common information of correlated sources,” IEEE Transactions on Information Theory, vol. 60, no. 6, pp. 3238-3253, June 2014.

12. T. Nanjundaswamy and K. Rose, “Cascaded long term prediction for enhanced compression of polyphonic audio signals,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 22, no. 3, pp. 697-710, March 2014.

13. E. Akyol and K. Rose, “On constrained randomized quantization,” IEEE Transactions on Signal Processing, vol. 61, no. 13, pp. 3291-3302, July 2013.

14. E. Ravelli, V. Melkote, T. Nanjundaswamy, and K. Rose, “Joint optimization of base and enhancement layers in scalable audio coding,” IEEE Transactions on Audio, Speech and Language Processing, vol. 21, no. 4, pp. 711-724, April 2013.

15. J. Han, V. Melkote and K. Rose, “An estimation-theoretic approach to delayed decoding of predictively encoded video sequences,” IEEE Transactions on Image Processing, vol. 22, no. 3, pp. 1175-1185, March 2013.

16. E. Akyol, K. Viswanatha and K. Rose, “On conditions for linearity of optimal estimation,” IEEE Transactions on Information Theory, vol. 58, no. 6, pp. 3497-3508, June 2012.

17. J. Han, A. Saxena, V. Melkote and K. Rose, “Jointly optimized spatial prediction and block transform for video and image coding,” IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1874-1884, April 2012.

18. S. Ramaswamy and K. Rose, “Adaptive cluster distance bounding for high dimensional indexing,” IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 6, pp. 815-830, June 2011.

19. M.E. Sargin, A. Altinok, B.S. Manjunath, K. Rose, “Variable length open contour tracking using a deformable trellis,” IEEE Transactions on Image Processing, vol. 20, no. 4, pp. 1023-1035, April 2011.

20. E. Kiris, D. Ventimiglia, M.E. Sargin, M.R. Gaylord, A. Altinok, K. Rose, B.S. Manjunath, M.A. Jordan, L. Wilson, S.C. Feinstein, “Combinatorial tau pseudophosphorylation: markedly different regulatory effects on microtubial assembly and dynamic stability than the sum of the individual parts,” Journal of Biological Chemistry, vol. 286, no. 16, pp. 14257-14270, April 2011.

21. J.C. Schmidt, K. Rose, “Jointly optimized mode decisions in redundant video streaming,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 4, pp. 513-518, April 2011.

22. A. Peck, M.E. Sargin, N.E, LaPointe, K. Rose, B.S. Manjunath, S.C. Feinstein, L. Wilson, “Tau isoform-specific modulation of kinesin-driven microtubule gliding rates and trajectories as determined with tau-stabilized microtubules,” Cytoskeleton, vol. 68, no. 1, pp. 44-55, January 2011.

23. A. Saxena and K. Rose, “On scalable distributed coding of correlated sources,” IEEE Transactions on Signal Processing, vol. 58, no. 5, pp. 2875-2883, May 2010.

24. S. Ramaswamy, J. Nayak and K. Rose, “Fusion coding of correlated sources for storage and selective retrieval,” IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1722-1731, March 2010.

25. V. Melkote and K. Rose, “Trellis-based approaches to rate-distortion optimized audio encoding,” IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 2, pp. 330-341, February 2010.

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26. A. Saxena, J. Nayak and K. Rose, “Robust distributed source coder design by deterministic annealing,” IEEE Transactions on Signal Processing, vol. 58, no. 2, pp. 859-868. February 2010.

27. H. Yang and K. Rose, “Optimizing motion compensated prediction for error resilient video coding,” IEEE Transactions on Image Processing, vol. 19, no. 1, pp. 108-118, January 2010.

28. S. Ramaswamy and K. Rose, “Towards optimal indexing for relevance feedback in large image databases,” IEEE Transactions on Image Processing, vol. 18, no. 12, pp. 2780-2789, December 2009.

29. A. Saxena and K. Rose, “Distributed predictive coding of spatio-temporally correlated sources,” IEEE Transactions on Signal Processing, vol. 57, no. 10, pp. 4066-4075, October 2009.

30. E. Tuncel, J. Nayak, P. Koulgi and K. Rose, “On complementary graph entropy,” IEEE Transactions on Information Theory, vol. 55, no. 6, pp. 2537-2546, June 2009.

31. H. Yang and K. Rose, “Advances in recursive per-pixel end-to-end distortion estimation for robust video coding in H.264/AVC,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 7, pp. 845-856, July 2007.

32. A. Altinok, E. Kiris, A. J. Peck, S. C. Feinstein, L. Wilson, B. S. Manjunath and K. Rose, “Model based dynamics analysis in microtubule videos,” BMC Cell Biology, 2007.

33. J. Nayak, E. Tuncel and K. Rose, “Zero-error source-channel coding with side information,” IEEE Transactions on Information Theory, vol. 52, no. 10, pp. 4626-4629, October 2006.

34. A. Aggarwal, S. L. Regunathan and K. Rose, “Efficient bit-rate scalability for weighted squared error optimization in audio coding,” IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 4, pp. 1313-1327, July 2006.

35. A. Aggarwal, S. L. Regunathan and K. Rose, “A trellis-based approach to audio coding with optimal selection of encoding parameter values,” IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 2, pp. 623-633, March 2006.

36. J. Nayak and K. Rose, “Graph capacities and zero-error transmission over compound channels,” IEEE Transactions on Information Theory, vol. 51, no. 12, pp. 4374-4378, December 2005.

37. E. Tuncel, J. Nayak and K. Rose, “On hierarchical type covering,” IEEE Transactions on Information Theory, vol. 51, no. 12, pp. 4405-4418, December 2005.

38. F. Perronnin, J.-L. Dugelay and K. Rose, “A probabilistic model of face mapping with local transformations and its application to person recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 7, pp. 1157-1171, July 2005.

39. E. Tuncel, P. Koulgi and K. Rose, “Rate-distortion approach to databases: storage and content retrieval,” IEEE Transactions on Information Theory, vol. 50, no. 6, pp. 953-967, June 2004.

40. F. Perronnin, J.-L. Dugelay and K. Rose, “A probabilistic model for face transformation with application to person identification,” EURASIP Journal on Applied Signal Processing, vol. 2004, no. 4, pp. 510-521, April 2004.

41. P. Koulgi, E. Tuncel, S. L. Regunathan and K. Rose, “On zero-error coding of correlated sources,” IEEE Transactions on Information Theory, vol. 49, pp. 2856-2873, November 2003.

42. P. Koulgi, S. L. Regunathan and K. Rose, “Multiple description quantizer design by deterministic annealing,” IEEE Transactions on Information Theory, vol. 49, pp. 2067-2075, August 2003.

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43. E. Tuncel and K. Rose, “Additive successive refinement,” IEEE Transactions on Information Theory, vol. 49, pp. 1983-1991, August 2003.

44. H. Khalil and K. Rose, “Multistage vector quantizer design for packet networks,” IEEE Transactions on Signal Processing, vol. 51, pp. 1870-1879, July 2003.

45. E. Tuncel and K. Rose, “Computation and analysis of the N-layer scalable rate-distortion function,” IEEE Transactions on Information Theory, vol. 49, pp. 1218-1230, May 2003.

46. H. Khalil and K. Rose, “Predictive vector quantizer design using deterministic annealing,” IEEE Transactions on Signal Processing, vol. 51, pp. 244-254, January 2003.

47. E. Tuncel and K. Rose, “Error exponents in scalable source coding,” IEEE Transactions on Information Theory, vol. 49, pp. 289-296, January 2003.

48. P. Koulgi, E. Tuncel, S. Regunathan and K. Rose, “On zero-error source coding with decoder side information,” IEEE Transactions on Information Theory, vol. 49, pp. 99-111, January 2003.

49. L. Gu and K. Rose, “Sub-state tying and combined parameter training and reduction in tied-mixture HMM design,” IEEE Transactions on Speech and Audio Processing, vol. 10, pp. 137-145, March 2002.

50. H. Khalil and K. Rose, “Predictive multistage vector quantizer design using asymptotic closed-loop optimization,” IEEE Transactions on Image Processing, vol. 10, pp. 1765-1770, November 2001.

51. K. Rose and S. L. Regunathan, “Toward optimality in scalable predictive coding,” IEEE Transactions on Image Processing, vol. 10, pp. 965-976, July 2001.

52. S. Gadkari and K. Rose, “Unequally protected multistage vector quantization for time-varying CDMA channels,” IEEE Transactions on Communications, vol. 49, pp. 1045-1054, June 2001.

53. S. Regunathan, R. Zhang and K. Rose, “Scalable video coding with robust mode selection,” Signal Processing - Image Communication, vol. 16, pp. 725-732, May 2001.

54. A. Rao and K. Rose, “Deterministically annealed design of hidden Markov model speech recognizers,” IEEE Transactions on Speech and Audio Processing, vol. 9, pp. 111-126, February 2001.

55. H. Khalil, K. Rose and S. L. Regunathan, “The asymptotic closed-loop approach to predictive vector quantizer design with application in video coding”, IEEE Transactions on Image Processing, vol. 10, pp. 15-23, January 2001.

56. R. Zamir and K. Rose, “Natural type selection in adaptive lossy compression,” IEEE Transactions on Information Theory, vol. 47, pp. 99-111, January 2001.

57. R. Zhang, S. L. Regunathan, and K. Rose, “Video coding with optimal inter/intra-mode switching for packet loss resilience,” IEEE Journal on Selected Areas in Communications, vol.18, (no.6), pp. 966-76, June 2000.

58. M. Vissac, J.-L. Dugelay and K. Rose, “A fractals-inspired approach to binary image database indexing and retrieval,” Annales des Telecommunications, vol.55, (no.3-4), pp. 194-200, March-April 2000.

59. S. Gadkari and K. Rose, “Robust vector quantizer design by noisy channel relaxation,” IEEE Transactions on Communications, vol. 47, pp. 1113-1116, August 1999.

60. S. Gadkari and K. Rose, “Time division versus superposition coded modulation schemes for unequal error protection,” IEEE Transactions on Communications, vol. 47, pp. 370-379, March 1999.

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61. A. Rao, D. Miller, K. Rose and A. Gersho, “A deterministic annealing approach for parsimonious design of piecewise regression models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, pp. 159-173, February 1999.

62. S. Gadkari and K. Rose, “Vector quantization with transmission energy allocation for time-varying channels,” IEEE Transactions on Communications, vol. 47, pp. 149-157, January 1999.

63. K. Rose, “Deterministic annealing for clustering, compression, classification, regression, and related optimization problems,” Proceedings of the IEEE, vol. 86, pp. 2210-2239, November 1998 (invited).

64. S. Ramakrishnan, K. Rose and A. Gersho, “Constrained-storage vector quantization with a universal codebook,” IEEE Transactions on Image Processing, vol. 7, pp. 785-793, June 1998.

65. S. Gadkari and K. Rose, “Transmission energy allocation with low peak-to-average ratio,” IEEE Communications Letters, vol. 1, pp. 166-168, November 1997.

66. A. Rao, D. Miller, K. Rose, and A. Gersho, “Mixture of experts regression modeling by deterministic annealing,” IEEE Transactions on Signal Processing, vol. 45, no. 11, pp. 2811-2820, November 1997.

67. D. Miller, A. Rao, K. Rose, and A. Gersho, “A global optimization technique for statistical classifier design,” IEEE Transactions on Signal Processing, vol. 44, no. 12, pp. 3108-3122, December 1996.

68. S. Gadkari and K. Rose, “Robust vector quantisation by transmission energy allocation,” Electronics Letters, vol. 32, No. 16, pp. 1451-1453, August 1996.

69. K. Rose, D. Miller and A. Gersho, “Entropy-constrained tree-structured vector quantizer design,” IEEE Transactions on Image Processing, vol. 5, no. 2, pp. 393-398, February 1996.

70. D. Miller and K. Rose, “Hierarchical, unsupervised learning with growing via phase transitions,” Neural Computation, vol. 8, no. 2, pp. 427-452, February 1996.

71. K. Rose, “A mapping approach to rate-distortion computation and analysis,” IEEE Transactions on Information Theory, vol. 40, no. 6, pp. 1939-1952, November 1994.

72. D. Miller and K. Rose, “A non-greedy approach to tree-structured clustering,” Pattern Recognition Letters, vol. 15, pp. 683-690, July 1994.

73. D. Miller and K. Rose, “Combined source-channel vector quantization using deterministic annealing,” IEEE Transactions on Communications, vol. 42, no. 2, pp. 347-356, February 1994.

74. K. Rose, E. Gurewitz and G. C. Fox, “Constrained clustering as an optimization method,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 8, pp. 785-794, August 1993.

75. K. Rose, E. Gurewitz and G. C. Fox, “Vector quantization by deterministic annealing,” IEEE Transactions on Information Theory, vol. 38, no. 4, pp. 1249-1257, July 1992.

76. I. Dinstein, K. Rose and A. Heiman, “Variable block-size transform image coder,” IEEE Transactions on Communications, vol. 38, no. 11, pp. 2073-2078, November 1990.

77. K. Rose, E. Gurewitz and G. C. Fox, “A deterministic annealing approach to clustering,” Pattern Recognition Letters, vol. 11, no. 9, pp. 589-594, September 1990.

78. K. Rose, E. Gurewitz and G. C. Fox, “Statistical mechanics and phase transitions in clustering,” Physical Review Letters, vol. 65, no. 8, pp. 945-948, August 1990.

79. K. Rose, A. Heiman and I. Dinstein, “DCT/DST alternate-transform image coding,” IEEE Transactions on Communications, vol. 38, no. 1, pp. 94-101, January 1990.

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80. K. Rose and A. Heiman, “Enhancement of one-dimensional variable-length DPCM images corrupted by transmission errors,” IEEE Transactions on Communications, vol. 37, no. 4, pp. 373-379, April 1989.

81. A. Heiman and K. Rose, “A look-up based universal transformer for image coding,” IEEE Journal on Selected Areas in Communications, special issue on low bit rate coding of moving images, vol. 5, no. 7, pp. 1207-1213, August 1987.

Conference Proceedings 82. S. Zamani, T. Nanjundaswamy, K. Rose, “Frequency domain singular value decomposition

for efficient spatial audio coding,” Proc. IEEE Workshop on Application of Signal Processing to Audio and Acoustics, October 2017 (to appear).

83. B. Li, T. Nanjundaswamy, K. Rose, “An error-resilient video coding framework with soft reset and end-to-end distortion optimization,” Proc. IEEE International Conference on Image Processing, September 2017 (to appear).

84. W.-T. Lin, T. Nanjundaswamy, K. Rose, “Adaptive interpolated motion compensated prediction,” Proc. IEEE International Conference on Image Processing, September 2017 (to appear).

85. S. Li, T. Nanjundaswamy, B. Li, K. Rose, “On generalizing the estimation-theoretic framework to scalable video coding with quadtree structured block partitions,” Proc. IEEE International Conference on Image Processing, September 2017 (to appear).

86. B. Vishwanath, T. Nanjundaswamy, S. Zamani, K. Rose, “Deterministic annealing based design of error resilient predictive compression systems,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2017.

87. S. Li, T. Nanjundaswamy, K. Rose, “Jointly optimized transform-domain temporal prediction and sub-pixel interpolation,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2017.

88. C. Torres. J.C. Fried, K. Rose, B.S. Manjunath, “Deep eye CU (DECU): summarization of patient motion in the ICU,” Proc. European Conference on Computer Vision, (LNCS 9914), October 2016.

89. B. Li, T. Nanjundaswamy, K. Rose, “Block-size adaptive transform domain estimation of end-to-end distortion for error-resilient video coding,” Proc. IEEE International Conference on Image Processing, September 2016.

90. S. Zamani, T. Nanjundaswamy, K. Rose, “Recursive end-to-end distortion estimation for error-resilient adaptive predictive compression systems,” Proc. IEEE Statistical Signal Processing Workshop, June 2016.

91. M. Salehifar, T. Nanjundaswamy, K. Rose, “Joint design of layered coding quantizers to extract and exploit common information,” Proc. IEEE Data Compression Conference, March 2016.

92. S. Li, T. Nanjundaswamy, K. Rose, “Transform-domain temporal prediction with extended blocks,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2016.

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93. M.S. Mehmetoglu, E. Akyol, K. Rose, “Analog multiple descriptions: a zero-delay source-channel coding approach,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2016.

94. M. Salehifar, T. Nanjundaswamy, K. Rose, “On scalable coding of hidden Markov models,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2016.

95. M. Salehifar, T. Nanjundaswamy, K. Rose, “Quantizer design for exploiting common information in layered coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2016.

96. S. Zamani, T. Nanjundaswamy, K. Rose, “Asymptotic closed-loop design of error-resilient predictive compression systems,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2016.

97. S. Li, T. Nanjundaswamy, Y. Chen, K. Rose, “Asymptotic closed-loop design for transform domain temporal prediction,” Proc. IEEE International Conference on Image Processing, September 2015.

98. R. Shenoy, M.-C. Shih, K. Rose, “Segmentation of cells in electron microscopy images through multimodal label transfer,” Proc. IEEE International Conference on Image Processing, September 2015.

99. L. Megalini, D. Becerra, R. Shenoy, A. Pourhashemi, R. Farrell, K. Rose, J. Speck, S. Nakamura, D. Cohen, S. DenBaars, Continuous-wave operation of a (20-2-1) InGaN laser diode with a photelectrochemically etched current aperture”, Proc. Compound Semiconductor Week, June 2015.

100. R. Shenoy, M.-C. Shih, K. Rose, “A probabilistic framework for simultaneous segmentation and classification of multiple cells in multi-marker microscopy images,” Proc. IEEE International Symposium on Biomedical Imaging, April 2015.

101. M.-C. Shih, R. Shenoy, K. Rose, “2D Hidden Markov model with spatially adaptive state-space for tracing many cells in image sequences,” Proc. IEEE International Symposium on Biomedical Imaging, April 2015.

102. Y. Chen, K. Rose, J. Han, D. Mukherjee, “A pre-filtering approach to exploit decoupled prediction and transform block structures in video coding,” Proc. IEEE International Conference on Image Processing, October 2014.

103. R. Shenoy, M.-C. Shih, K. Rose, “Hidden Markov model-based multi-modal image fusion with efficient training,” Proc. IEEE International Conference on Image Processing, October 2014.

104. S. Li, Y. Chen, J. Han, T. Nanjundaswamy, K. Rose, “Rate-distortion optimization and adaptation of Intra prediction filter parameters,” Proc. IEEE International Conference on Image Processing, October 2014.

105. M. Mehmetoglu, E. Akyol, K. Rose, “A deterministic annealing approach to Witsenhausen’s counterexample,” Proc. IEEE International Symposium on Information Theory, June 2014.

106. E. Akyol, U. Mitra, E. Tuncel, K. Rose, “On scalable coding in the presence of decoder side information,” Proc. IEEE International Symposium on Information Theory, June 2014.

107. E. Akyol, U. Mitra, E. Tuncel, K. Rose, “Source coding in the presence of exploration-exploitation tradeoff,” Proc. IEEE International Symposium on Information Theory, June 2014.

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108. M.S. Mehmetoglu, E. Akyol, K. Rose, “Optimization of zero-delay mappings for distributed coding by deterministic annealing,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014.

109. T. Nanjundaswamy, K. Viswanatha, K. Rose, “On relaxing the strict hierarchical constraints in layered coding of audio signals,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014.

110. Y. Chen, D. Mukherjee, J. Han, K. Rose, “Joint inter-intra prediction based on mode-variant and edge-detected weighting approaches in video coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014.

111. M. Salehifar, E. Akyol, K. Viswanatha, K. Rose, “On optimal coding of hidden Markov sources,” Proc. IEEE Data Compression Conference, March 2014.

112. Y. Chen, J. Han, T. Nanjundaswamy, K. Rose, “A joint spatio-temporal filtering approach to efficient prediction in video compression,” Proc. 30th Picture Coding Symposium (PCS), December 2013.

113. E. Akyol, K. Rose, T. Basar, “On optimal jamming over an additive noise channel,” Proc. IEEE Conference on Decision and Control (CDC), December 2013.

114. E. Akyol, K. Rose, T. Basar, “On communication over Gaussian sensor networks with adversaries: further results,” Proc. Conference on Decision and Game Theory for Security (GameSec), November 2013.

115. T. Nanjundaswamy, K. Rose, “Cascaded long term prediction of polyphonic signals for low power decoders,” Proc. 135th Convention, Audio Engineering Society, October 2013.

116. E. Akyol, K. Rose, “Optimal jamming over additive noise: vector source-channel case,” Proc. 51st Allerton Conference on Communication, Control and Computing, October 2013.

117. J. Han, K. Rose, “Approaching optimality in spatially scalable video coding: from resampling and prediction to quantization and entropy coding,” Proc. IEEE International Conference on Image Processing, September 2013.

118. M.S. Mehmetoglu, E. Akyol, K. Rose, “A deterministic annealing approach to optimization of zero-delay source-channel codes,” Proc. IEEE Information Theory Workshop (ITW), September 2013.

119. K. Viswanatha, E. Akyol, K. Rose, “On the role of common codewords in quadratic Gaussian multiple descriptions coding,” Proc. IEEE International Symposium on Information Theory, July 2013.

120. E. Akyol, K. Viswanatha, K. Rose, T. Ramstad “On zero-delay source-channel coding: functional properties and linearity conditions,” Proc. IEEE International Symposium on Information Theory, July 2013.

121. E. Akyol, K. Rose, T. Basar “Gaussian sensor networks with adversarial nodes,” Proc. IEEE International Symposium on Information Theory, July 2013.

122. Y. Chen, J. Han, K. Rose, “A recursive extrapolation approach to intra prediction in video coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013.

123. T. Nanjundaswamy, K. Rose, “On accommodating pitch variation in long term prediction of speech and vocals in audio coding,” Proc. 133rd Convention, Audio Engineering Society, October 2012.

124. V. Jagadeesh, M.-C. Shih, B. S. Manjunath, K. Rose, “Scalable tracing of electron micrographs by fusing top-down and bottom-up cues using hypergraph diffusion,” Proc.

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International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2012.

125. J. Han, K. Rose, “Towards predictor, quantizer and entropy coder optimality in scalable video coding,” Proc. IEEE International Conference on Image Processing, September 2012.

126. E. Akyol, K. Viswanatha, K. Rose, “On random binning versus conditional codebook methods in multiple descriptions coding,” Proc. IEEE Information Theory Workshop (ITW), September 2012.

127. K. Viswanatha, E. Akyol, K. Rose, “On common information and the encoding of sources that are not successively refinable,” Proc. IEEE Information Theory Workshop (ITW), September 2012.

128. K. Viswanatha, E. Akyol, K. Rose, “A new achievable region for Gaussian multiple descriptions based on subset typicality,” Proc. IEEE Information Theory Workshop (ITW), September 2012.

129. E. Akyol, K. Viswanatha, K. Rose, “Linearity conditions for optimal estimation from multiple noisy measurements,” Proc. IEEE Statistical Signal Processing Workshop, August 2012.

130. K. Viswanatha, E. Akyol, K. Rose, “Lossy common information of two dependent random variables,” Proc. IEEE International Symposium on Information Theory, July 2012.

131. E. Akyol, K. Viswanatha, K. Rose, “Combinatorial message sharing and random binning for multiple description coding,” Proc. IEEE International Symposium on Information Theory, July 2012.

132. E. Akyol, K. Rose, “On linear transforms in zero-delay Gaussian source-channel coding,” Proc. IEEE International Symposium on Information Theory, July 2012.

133. J. Han, V. Melkote, K. Rose, “A unified estimation-theoretic framework for error-resilient scalable video coding,” Proc. IEEE International Conference on Multimedia & Expo (ICME), July 2012.

134. J. Han, V. Melkote, K. Rose, “An estimation-theoretic framework for spatially scalable video coding with delayed prediction,” Proc. IEEE Packet Video Workshop, May 2012.

135. R. Kidambi, M.-C. Shih, K. Rose, “Deformable trellises on factor graphs for microtubule tracking in clutter,” Proc. IEEE International Symposium on Biomedical Imaging, May 2012.

136. M.-C. Shih, K. Rose, “Hidden Markov models for tracking neuronal structure contours in electron micrograph stacks,” Proc. IEEE International Symposium on Biomedical Imaging, May 2012

137. K. Viswanatha, S. Ramaswamy, A. Saxena, K. Rose, “Error-resilient and complexity-constrained distributed coding for large scale sensor networks,” Proc. ACM/IEEE Conference on Information Processing in Sensor Networks, April 2012.

138. E. Akyol, K. Rose, “Towards optimality in multiterminal transform coding,” Proc. IEEE Data Compression Conference, April 2012.

139. E. Akyol, K. Rose, “On constrained randomized quantization,” Proc. IEEE Data Compression Conference, April 2012.

140. T. Nanjundaswamy, K. Rose, “Bidirectoonal cascaded long term prediction for frame loss concealment in polyphonic audio signals,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2012.

141. J. Han, V. Melkote, K. Rose, “An estimation-theoretic approach to spatially scalable video coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2012.

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142. T. Nanjundaswamy, K. Rose, “Perceptually optimal cascaded long term prediction of polyphonic signals for enhanced MPEG-AAC,” Proc. 131st Convention, Audio Engineering Society, October 2011.

143. K. Viswanatha, E. Akyol, K. Rose, “An optimal transmit-receive rate tradeoff in Gray-Wyner network and its relation to common information,” Proc. IEEE Information Theory Workshop (ITW), October 2011.

144. K. Viswanatha, E. Akyol, K. Rose, “A strictly improved achievable region for multiple descriptions using combinatorial message sharing,” Proc. IEEE Information Theory Workshop (ITW), October 2011.

145. J. Han, V. Melkote, K. Rose. “Transform-domain temporal prediction in video coding with spatially adaptive spectral correlations,” Proc. IEEE Multimedia Signal Processing Workshop, October 2011.

146. T. Nanjundaswamy, K. Rose, “Cascaded long term prediction for coding polyphonic audio signals,” Proc. IEEE Workshop on Application of Signal Processing to Audio and Acoustics, October 2011.

147. J. Han, V. Melkote, K. Rose, “A unified framework for spectral domain prediction and end-to-end distortion estimation in scalable video coding,” Proc. IEEE International Conference on Image Processing, September 2011.

148. E. Akyol, K. Rose, “A necessary and sufficient condition for transform optimality in source coding,” Proc. IEEE International Symposium on Information Theory, July 2011.

149. K. Viswanatha, E. Akyol, K. Rose, “Combinatorial message-sharing for a refined multiple descriptions achievable region,” Proc. IEEE International Symposium on Information Theory, July 2011.

150. K. Viswanatha, E. Akyol, K. Rose, “An achievable rate region for distributed source coding and dispersive information routing,” Proc. IEEE International Symposium on Information Theory, July 2011.

151. E. Akyol, K. Viswanatha, K. Rose, “On multidimensional optimal estimators: linearity conditions,” Proc. IEEE Statistical Signal Processing Workshop, June 2011.

152. J. Han, V. Melkote, K. Rose, “A spectral approach to recursive end-to-end distortion estimation for sub-pixel motion-compensated video coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011.

153. K. Viswanatha, S. Ramaswamy, A. Saxena, K. Rose, “A classifier-based decoding approach for large scale distributed coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011.

154. J. Han, V. Melkote, K. Rose, “A recursive optimal spectral estimate of end-to-end distortion in video communications,” IEEE Packet Video Workshop, December 2010.

155. T. Nanjundaswamy, V. Melkote, E, Ravelli, K. Rose, “Perceptual distortion-rate optimization of long term prediction in MPEG AAC,” Proc. 129th Convention, Audio Engineering Society, November 2010.

156. R. Satyan, F. Labeau, K. Rose, “Optimal mode switching for multi-hypothesis motion compensated prediction,” Proc. IEEE Multimedia Signal Processing Workshop (MMSP), October 2010.

157. J. Han, V. Melkote, K. Rose. “Estimation-theoretic approach to delayed prediction in scalable video coding,” Proc. IEEE International Conference on Image Processing, September 2010.

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158. J. Han, V. Melkote, K. Rose. “Transform-domain temporal prediction in video coding: exploiting correlation variation across coefficients,” Proc. IEEE International Conference on Image Processing, September 2010.

159. K. Viswanatha, E. Akyol, K. Rose, “On optimum communication cost for joint compression and dispersive information routing,” Proc. IEEE Information Theory Workshop (ITW), August 2010.

160. E. Akyol, K. Viswanatha, K. Rose, “On conditions for linearity of optimal estimation,” Proc. IEEE Information Theory Workshop (ITW), August 2010.

161. K. Viswanatha, E. Akyol, S. Ramaswamy, K. Rose, “Distributed source coding and dispersive information routing: an integrated approach with networking and database applications,” European Signal Processing Conference (EUSIPCO), invited special session paper, August 2010.

162. M. E. Sargin, P. Ghosh, B. S. Manjunath, K. Rose, “Object tracking with ratio cycles using shape and appearance cues,” Proc. IAPR/IEEE Int’l Conference on Pattern Recognition, August 2010.

163. P. Koulgi, M. E. Sargin, K. Rose, B. S. Manjunath, “Graphical model-based tracking of curvilinear structures in bio-image sequences,” Proc. IAPR/IEEE Int’l Conference on Pattern Recognition, August 2010.

164. K. Viswanatha, E. Akyol, K. Rose, “Toward optimum cost in multi-hop networks with arbitrary network demands,” Proc. IEEE Int’l Symposium on Information Theory (ISIT), June 2010.

165. E. Ravelli, V. Melkote, T. Nanjundaswamy and K. Rose, “Cross-layer rate-distortion optimization for scalable advanced audio coding,” Proc. 128th Convention, Audio Engineering Society, May 2010.

166. J. Han, V. Melkote and K. Rose, “Estimation-theoretic delayed decoding of predictively encoded video sequences,” Proc. IEEE Data Compression Conference, March 2010.

167. E. Akyol, K. Rose and T. Ramstad, “Optimal analog mappings for distributed source-channel coding,” Proc. IEEE Data Compression Conference, March 2010.

168. E. Ravelli, V. Melkote, T. Nanjundaswamy and K. Rose, “Joint optimization of the perceptual core and lossless compression layers in scalable audio coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010.

169. V. Melkote and K. Rose, “Optimal delayed decoding of predictively encoded sources,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010.

170. J. Han, A. Saxena and K. Rose, “Towards jointly optimal spatial prediction and adaptive transform in video/image coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010.

171. S. Ramaswamy, K. Viswanatha, A. Saxena and K. Rose, “Towards large scale distributed coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010.

172. E. Akyol, K. Rose and T. Ramstad, “Optimal mappings for joint source-channel coding,” Proc. IEEE Information Theory Workshop, January 2010.

173. E. Ravelli, V. Melkote and K. Rose, “A perceptually enhanced scalable-to-lossless audio coding scheme and a trellis-based approach for its optimization,” Proc. IEEE Workshop on Application of Signal Processing to Audio and Acoustics, October 2009.

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174. M. E. Sargin, L. Bertelli, B. S. Manjunath and K. Rose, “Probabilistic occlusion boundary detection on spatio-temporal lattices,” Proc. IEEE Int’l Conference on Computer Vision (ICCV), September 2009.

175. V. Melkote and K. Rose, “A modified distortion metric for audio coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2009.

176. C. Schmidt and K. Rose, “Jointly optimized mode decisions in redundant video streaming,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2009.

177. A. Saxena and K. Rose, “Scalable distributed source coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2009.

178. J. Singh, A. Saxena, K. Rose and U. Madhow, “Optimization of correlated source coding for event-based compression in sensor networks,” Proc. IEEE Data Compression Conference, March 2009.

179. E. Akyol and K. Rose, “Non-uniform dithered quantization,” Proc. IEEE Data Compression Conference, March 2009.

180. E. Akyol and K. Rose, “On transform coding with dithered quantizers,” Proc. IEEE Data Compression Conference, March 2009.

181. E. Tuncel, J. Nayak, P. Koulgi and K. Rose, “Zero-error distributed source coding,” in Distributed Source Coding: Theory, Algorithms and Applications, P. L. Dragotti and M. Gastpar (Ed.), Chapter 4, pp. 89-110, Academic Press, 2009.

182. T. A. Ramstad, E. Akyol and K. Rose, “Optimization of sample-by-sample transmission of non-Gaussian signals over non-Gaussian channels,” Proc. Int’l Conference on Recent Advances in Communication Engineering, December 2008.

183. E. Kiris, M. R. Gaylord, D. Ventimiglia, A. Altinok, M. E. Sargin, K. Rose, B. S. Manjunath, M. A. Jordan, L. Wilson and S. C. Feinstein, “Effects of tau pseudophosphorylation at residues thr231 ser396 and ser404 upon regulation of microtubule dynamic instability in living cells,” Society for Neuroscience Annual Meeting, November 2008 (abstract).

184. A. Altinok, E. Kiris, E. Sargin, L. Wilson, S. C. Feinstein, B. S. Manjunath and K. Rose, “Quantification of dynamic behaviour of microtubules in living cells using novel computational methods,” Society for Neuroscience Annual Meeting, November 2008 (abstract).

185. V. Melkote and K. Rose, “An improved distortion measure for audio coding and a corresponding two-layered trellis approach for its optimization,” Proc. 125th Convention, Audio Engineering Society, October 2008.

186. C. Schmidt and K. Rose, “Macroblock-based retransmission for error resilient video streaming,” Proc. IEEE International Conference on Image Processing, October 2008.

187. S. Ramaswamy and K. Rose, “Fast adaptive Mahalanobis distance-based search and retrieval in image databases,” Proc. IEEE International Conference on Image Processing, October 2008.

188. M. E. Sargin, A. Altinok, K. Rose and B. S. Manjunath, “Conditional iterative decoding of two-dimensional hidden Markov models,” Proc. IEEE International Conference on Image Processing, October 2008.

189. A. Saxena and K. Rose, “On distributed quantization in scalable and predictive coding,” Proc. Sensor, Signal and Information Processing Workshop, May 2008.

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190. S. Ramaswamy and K. Rose, “Predictive fusion coding for spatio-temporally correlated sources,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2008.

191. V. Melkote and K. Rose, “A two-layered trellis approach to audio coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2008.

192. M. E. Sargin, A. Altinok, K. Rose and B. S. Manjunath, “Deformable trellis: open contour tracking in bio-image sequences,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2008.

193. A. Saxena and K. Rose, “Distributed multi-stage coding of correlated sources,” Proc. IEEE Data Compression Conference, March 2008.

194. S. Ramaswamy and K. Rose, “Shared descriptions fusion coding for storage and selective retrieval of correlated sources,” Proc. IEEE Data Compression Conference, March 2008.

195. A. Altinok, A. Peck and K. Rose, “Computational methods for analyzing patterns in dynamic biological phenomena: an application to microtubule dynamics,” in Methods in Cell Biology (J. J. Correla and H. W. Detrich, Eds.), Academic Press, 2008.

196. Ch. Schmidt and K. Rose, “First-order distortion estimation for efficient video streaming at moderate to high packet loss rates,” Proc. IEEE Packet Video Workshop, November 2007.

197. A. Altinok, M. E. Sargin, E. Kiris, L. Wilson, S. C. Feinstein, B. S. Manjunath and K. Rose, “Segmenting filamentous biological structures by automated tracing,” Society for Neuroscience Annual Meeting, November 2007 (abstract).

198. E. Kiris, M. R. Gaylord, J. Reifert, M. E. Sargin, A. Altinok, K. Rose, B. S. Manjunath. Jordan, L. Wilson and S.C. Feinstein, “Effects of combinatorial tau pseudophosphorylation upon microyubule binding assembly and the regulation of dynamic instability in vitro,” Society for Neuroscience Annual Meeting, November 2007 (abstract).

199. A. Altinok, M. E. Sargin, B. S. Manjunath and K. Rose, “Extracting dynamic microtubule features from image sequences", 41st Asilomar Conference on Signals, Systems, and Computers, November 2007.

200. V. Melkote and K. Rose, “Trellis-based approach for joint optimization of window switching decisions and bit resource allocation,” Proc. 123rd Convention, Audio Engineering Society, October 2007.

201. S. Ramaswamy and K. Rose, “Adaptive cluster distance bounding for nearest neighbor search in image databases,” Proc. IEEE International Conference on Image Processing, September 2007.

202. M. E. Sargin, A. Altinok, K. Rose and B. S. Manjunath, “Tracing curvilinear structures in live cell images,” Proc. IEEE International Conference on Image Processing, September 2007.

203. A. Saxena and K. Rose, “Challenges and recent advances in distributed predictive coding,” Proc. IEEE Information Theory Workshop, September 2007.

204. H. Yang and K. Rose, “Mismatch impact on per-pixel end-to-end distortion estimation and coding mode selection,” Proc. IEEE International Conference on Multimedia and Expo, July 2007.

205. A. Saxena and K. Rose, “Distributed predictive coding for spatio-temporally correlated sources,” Proc. IEEE International Symposium on Information Theory, June 2007.

206. S.-U. Ryu and K. Rose, “An MDCT domain frame-loss concealment technique for MPEG advanced audio coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2007.

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207. S. Ramaswamy, J. Nayak and K. Rose, “Code design for fast selective retrieval of fusion stored time-series/sensor data,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2007.

208. M. E. Sargin, A. Altinok, E. Kiris, S. Feinstein, L. Wilson, K. Rose and B. S. Manjunath, “Tracing microtubules in live cell images,” Proc. IEEE Int’l Symposium on Biomedical Imaging, April 2007.

209. S-U. Ryu and K. Rose, “Frame loss concealment for audio decoders employing spectral band replication,” Proc. 121st Convention, Audio Engineering Society, October 2006.

210. A. Altinok, A. Peck, S. C. Feinstein and K. Rose, “Model based dynamics analysis in microtubule videos,” Proc. Workshop on Multiscale Biological Imaging, Data Mining and Informatics, September 2006.

211. A. Altinok, M. El-Saban, A. J. Peck, L. Wilson, S. C. Feinstein, B. S. Manjunath and K. Rose, “Activity analysis in microtubule videos by mixture of hidden Markov models,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp, 1662-1669, June 2006.

212. S.-U. Ryu, E. Choy and K. Rose, “Encoder assisted frame-loss concealment for MPEG-AAC decoder,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 5, pp. 169-172, May 2006.

213. H. Yang and K. Rose, “Generalized source-channel prediction for error-resilient video coding,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 533-536, May 2006.

214. A. Saxena, J. Nayak and K. Rose, “A global approach to joint quantizer design for distributed coding of correlated sources,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 52-56, May 2006.

215. S.-U. Ryu and K. Rose, “A frame-loss concealment technique for MPEG-AAC,” Proc. 120th Convention, Audio Engineering Society, May 2006.

216. M. Saban, A. Altinok, A. Peck, C. Kenney, S. Feinestein, L. Wilson, K. Rose and B. S. Manjunath, “Automated tracking and modeling of microtubule dynamics,” Proc. IEEE Int’l Symposium on Biomedical Imaging, pp. 1032-1035, April 2006.

217. A. Saxena, J. Nayak and K. Rose, “On efficient quantizer design for robust distributed source coding,” IEEE Data Compression Conference, pp. 63-72, March 2006.

218. S.-U. Ryu, J.-H. Chang and K. Rose, “ Effective high frequency regeneration based on sinusoidal modeling for MPEG-4 HE-AAC,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 211-214, October 2005.

219. S.-U. Ryu and K. Rose, “Enhanced accuracy of the tonality measure and control parameter extraction modules in MPEG-4 HE-AAC,” Proc. 119th Audio Engineering Society Convention, October 2005.

220. H. Yang and K. Rose, “Advances in recursive per-pixel estimation of end-to-end distortion for application in H.264,” IEEE International Conference on Image Processing, vol. 2, pp. 906-909, September 2005.

221. J. K. Nayak, S. Ramaswamy and K. Rose, “Correlated source coding for fusion storage and selective retrieval,” IEEE International Symposium on Information Theory, pp. 92-96, September 2005.

222. H. Yang and K. Rose, “Rate-distortion optimized motion estimation for error resilient video coding,” IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 173-176, March 2005.

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223. H. Yang and K. Rose, “Encoder and decoder optimization for source-channel prediction in error-resilient video transmission,” IEEE International Conference on Image Processing, vol. 4, pp. 2527-2530, October 2004.

224. J. Nayak and K. Rose, “Zero error capacity of compound channels,” IEEE Int’l Symposium on Information Theory, June 2004.

225. J. Nayak, E. Tuncel and K. Rose, “Lossy source coding under a maximum distortion constraint with side information,” IEEE Int’l Symposium on Information Theory, June 2004.

226. E. Tuncel, J. Nayak and K. Rose, “On hierarchical type covering,” IEEE Int’l Symposium on Information Theory, June 2004.

227. S.-U. Ryu and K. Rose, “Advances in sinusoidal analysis/synthesis-based error concealment in audio networking,” Proc. 116th Audio Engineering Society Convention, May 2004.

228. E. Masala, H. Yang, K. Rose and J.-C. de Martin, “Rate-distortion optimized slicing, packetization and coding for error-resilient video transmission,” IEEE Data Compression Conference, April 2004.

229. H. Yang and K. Rose, “Recursive end-to-end distortion estimation with model-based cross-correlation approximation,” IEEE International Conference on Image Processing, vol. 3, pp. 469-472, September 2003.

230. F. Perronnin, J.-L. Dugelay and K. Rose, “Deformable face mapping for person identification,” IEEE International Conference on Image Processing, vol. 1, pp. 661-664, September 2003.

231. H. Yang and K. Rose, “Source-channel prediction in error resilient video coding,” IEEE International Conference on Multimedia and Expo, pp. 233-236, July 2003.

232. E. Tuncel and K. Rose, “On the extreme cases of the rate-distortion function for robust descriptions,” IEEE International Symposium on Information Theory, p. 196, June 2003.

233. J. Nayak, E. Tuncel and K. Rose, “Zero-error source-channel coding with source side information at the decoder,” IEEE International Symposium on Information Theory, p. 141, June 2003.

234. E. Tuncel and K. Rose, “On variable-length coding of sources with side information at multiple decoders,” IEEE International Symposium on Information Theory, p. 140, June 2003.

235. A. Aggarwal, S.-U. Ryu and K. Rose, “Efficient scalable coding of stereophonic audio by conditional quantization and estimation-theoretic prediction,” IEEE Intenational Conference on Acoustics, Speech and Signal Processing, vol. V, pp. 465-468, April 2003.

236. F. Peronnin, J.-L. Dugelay and K. Rose, “Iterative decoding of two-dimensional hidden Markov models,” IEEE Intenational Conference on Acoustics, Speech and Signal Processing, vol. III, pp. 329-332, April 2003.

237. E. Tuncel, H. Ferhatosmanoglu, and K. Rose, “ VQ-Index: an index structure for similarity searching in multimedia databases,” ACM Multimedia Conference, France, December 2002.

238. H. Yang, R. Zhang and K. Rose, “Drift management and adaptive bit rate allocation in scalable video coding,” IEEE International Conference on Image Processing, pp. 49-52, September 2002.

239. E. Tuncel and K. Rose, “Towards optimal clustering for approximate similarity searching,” IEEE International Conference on Multimedia and Expo, vol. 2, pp. 497-500, August 2002.

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240. R. Zhang, S. L. Regunathan and K. Rose, “Optimized video streaming over lossy networks with real-time estimation of end-to-end distortion,” IEEE International Conference on Multimedia and Expo, vol. 1, pp. 861-864, August 2002.

241. E. Tuncel, P. Koulgi and K. Rose, “Rate-distortion approach to databases: Storage and content-based retrieval,” IEEE International Symposium on Information Theory, p. 348, July 2002.

242. P. Koulgi, E. Tuncel and K. Rose, “On zero-error coding of correlated sources,” IEEE International Symposium on Information Theory, p. 62, July 2002.

243. A. Aggarwal and K. Rose, “A conditional enhancement-layer quantizer for the scalable MPEG advanced audio coder,” IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1833-1836, May 2002.

244. A. Aggarwal and K. Rose, “Approaches to improve quantization performance over the scalable advanced audio coder,” Proc. AES 112th Convention, May 2002.

245. H. Yang, R. Zhang and K. Rose, “Optimal end-to-end distortion estimation for drift management in scalable video coding,” Proc. Packet Video Workshop, April 2002.

246. E. Tuncel, P. Koulgi, S. Regunathan and K. Rose, “Zero-error source coding with maximum distortion criterion,” IEEE Data Compression Conference, pp. 92-101, April 2002.

247. K. Rose, “Deterministic annealing for clustering, compression, classification, regression, and speech recognition,” in Intelligent Signal Processing, S. Haykin and B. Kosko (Ed.), Chapter 5, pp. 163-229, IEEE Press, 2001.

248. R. Zhang, S. L. Regunathan and K. Rose, “End-to-end distortion estimation for RD-based robust delivery of pre-compressed video", 35th Asilomar Conference on Signals, Systems, and Computers, October 2001.

249. R. Zhang, S. L. Regunathan and K. Rose, “Prescient mode selection for robust video coding", IEEE International Conference on Image Processing, October 2001.

250. L. Gu and K. Rose, “Split-band perceptual harmonic cepstral coefficients as acoustic features for speech recognition,” Eurospeech, September, 2001.

251. P. Koulgi, E. Tuncel, S. L. Regunathan and K. Rose, “Minimum redundancy zero-error source coding with side information,” IEEE International Symposium on Information Theory, June 2001.

252. E. Tuncel and K. Rose, “Additive successive refinement,” IEEE International Symposium on Information Theory, June 2001.

253. H. Khalil and K. Rose, “Predictive vector quantizer design by deterministic annealing,” IEEE International Symposium on Information Theory, June 2001.

254. P. Koulgi, E. Tuncel, S. Regunathan, and K. Rose, “Graph-entropic characterization of optimal zero-error coding rate with side information,” Seventh Canadian Workshop on Information Theory, June 2001.

255. E. Tuncel, and K. Rose, “Error exponents in scalable source coding,” Seventh Canadian Workshop on Information Theory, June 2001.

256. A. Aggarwal, S. Regunathan and K. Rose, “Near-optimal selection of encoding parameters for audio coding,” IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2001.

257. L. Gu and K. Rose, “Perceptual harmonic cepstral coefficients for speech recognition in noisy environment," IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2001.

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258. A. Aggarwal, K. Rose and S. Regunathan, “Compander domain approach to scalable AAC,” Proc. 110th AES Convention, May 2001.

259. A. Aggarwal, S. Regunathan and K. Rose, “Asymptotically optimal scalable coding for minimum weighted mean square error,” IEEE Data Compression Conference, March 2001.

260. H. Khalil and K. Rose, “Robust predictive vector quantizer design,” IEEE Data Compression Conference, March 2001.

261. A. Aggarwal, S. L. Regunathan and K. Rose, “Asymptotically optimal scalable coding for minimum weighted mean square error,” IEEE Data Compression Conference, March 2001.

262. R. Zhang, S. L. Regunathan and K. Rose, “Optimal estimation for error concealment in scalable video coding,” 34th Asilomar Conference on Signals, Systems, and Computers, November 2000.

263. L. Gu, J. Nayak and K. Rose, "Discriminative training of tied-mixture HMM by deterministic annealing," International Conference of Spoken Language Processing, October 2000.

264. L. Gu and K. Rose, “Perceptual harmonic cepstral coefficients as the front-end for speech recognition," International Conference of Spoken Language Processing, October 2000.

265. A. Aggarwal, S. Regunathan and K. Rose, “Trellis-based optimization of MPEG-4 advanced audio coding," IEEE Workshop on Speech Coding, September 2000.

266. A. Aggarwal, S. Regunathan and K. Rose, “Optimal prediction in scalable coding of stereophonic audio," Proc. 109th AES Convention, September 2000.

267. R. Zhang, S. L. Regunathan and K. Rose, “Switched error concealment and robust coding decisions in scalable video coding,” IEEE International Conference on Image Processing, September 2000.

268. S. L. Regunathan and K. Rose, “Efficient prediction in multiple description video coding,” IEEE International Conference on Image Processing, September 2000.

269. H. Khalil and K. Rose, “Multi-stage vector quantizer design for image transmission over packet networks,” IEEE International Conference on Image Processing, September 2000.

270. H. Khalil and K. Rose, “Asymptotic closed-loop design of predictive multi-stage vector quantizers,” IEEE International Conference on Image Processing, September 2000.

271. E. Tuncel and K. Rose, “Iterative computation of rate-distortion bounds for scalable source coding,” IEEE International Symposium on Information Theory, June 2000.

272. P. Koulgi, S. L. Regunathan and K. Rose, “Multiple description quantization by deterministic annealing,” IEEE International Symposium on Information Theory, June 2000.

273. H. Khalil and K. Rose, “MSVQ design for packet networks with application to LSF quantization,” IEEE International Conference on Acoustics, Speech, and Signal Processing, June 2000.

274. L. Gu and K. Rose, “Sub-state tying in tied mixture hidden Markov models,” IEEE International Conference on Acoustics, Speech, and Signal Processing, June 2000.

275. R. Zhang, S. L. Regunathan and K. Rose, “Scalable video coding with robust mode selection", Packet Video Workshop, May 2000.

276. R. Zhang, S. L. Regunathan and K. Rose, “Robust video coding for packet networks with feedback,” IEEE Data Compression Conference, March 2000.

277. H. Khalil and K. Rose, “Selective splitting approach to entropy-constrained single/multi-stage vector quantizer design,” Image and Video Communications and Processing, January 2000.

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278. L. Gu and K. Rose, “Combined parameter training and reduction in tied-mixture HMM design," IEEE Workshop on Automatic Speech Recognition and Understanding, December 1999.

279. R. Zhang, S. L. Regunathan and K. Rose, “Optimal intra/inter mode switching for robust video communication over the Internet,” Thirty-Third Asilomar Conference on Signals, Systems, and Computers, October 1999.

280. M. Vissac, J.-L. Dugelay and K. Rose, “A fractals-inspired approach to content-based image indexing,” IEEE International Conference on Image Processing, October 1999.

281. C. Gelin-Huet, K. Rose and A. Rao, “The deterministic annealing approach to discriminative continuous HMM design,” Eurospeech, September 1999.

282. M. Vissac, J.-L. Dugelay and K. Rose, “A novel indexing approach for multimedia image databases,” IEEE Workshop on Multimedia Signal Processing, September 1999.

283. E. Tuncel and K. Rose, “Nearest-prototype classifier design by deterministic annealing with random class labels,” IEEE Workshop on Neural Networks for Signal Processing, August 1999.

284. A. Aggarwal, V. Cuperman, K. Rose and A. Gersho, “Perceptual zerotrees for scalable wavelet coding of wideband audio,” Proc. IEEE Workshop on Speech Coding, June 1999.

285. S. L. Regunathan and K. Rose, “Video coding with unequal error protection,” UCSD Conf. on Wireless Communications, March 1999 (invited).

286. S. L. Regunathan and K. Rose, “Robust video compression for time-varying wireless channels,” SPIE Visual Communications and Image Processing, January 1999 (invited).

287. K. Rose, H. Khalil and S. L. Regunathan, “Open loop design of predictive vector quantizers for video coding,” IEEE International Conference on Image Processing, October 1998.

288. K. Rose and S. L. Regunathan, “Towards optimal scalability in predictive video coding,” IEEE International Conference on Image Processing, October 1998.

289. S. Gadkari and K. Rose, “Multi-stage vector quantization with unequal error protection for time-varying channels,” IEEE International Conference on Communication, June 1998.

290. K. Rose, P. Wu and S. L. Regunathan, “Efficient SNR scalability in predictive video coding,” IEEE International Conference on Acoustics, Speech, and Signal Processing, May 1998.

291. A. Rao, K. Rose and A. Gersho, “Deterministically annealed design of speech recognizers and its performance on isolated letters,” IEEE International Conference on Acoustics, Speech, and Signal Processing, May 1998.

292. A. Rao, K. Rose and A. Gersho, “Design of robust HMM speech recognizers using deterministic annealing,” IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 466-473, December 1997.

293. S. Gadkari and K. Rose, “Transmission energy allocation for CDMA applications,” 31st Asilomar Conference on Signals Systems, and Computers, November 1997, (invited).

294. S. L. Regunathan and K. Rose, “Robust image compression for transmission over time-varying channels,” 31st Asilomar Conference on Signals Systems, and Computers, November 1997, (invited).

295. S. L. Regunathan and K. Rose, “Motion vector quantization within a rate distortion framework,” IEEE International Conference on Image Processing, October 1997.

296. S. L. Regunathan and K. Rose, “Multimode video coding for noisy channels,” IEEE International Conference on Image Processing, October 1997.

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297. A. V. Rao, K. Rose and A. Gersho, “A deterministic annealing approach to discriminative hidden Markov model design,” IEEE Workshop on Neural Networks and Signal Processing, September 1997.

298. R. Zamir and K. Rose, “A type generator for adaptive lossy compression,” IEEE International Symposium on Information Theory, June 1997.

299. S. Gadkari and K. Rose, “Jointly optimized VQ index assignment and transmission energy allocation,” IEEE International Conference on Communications, June 1997.

300. S. L. Regunathan, K. Rose and S. Gadkari, “Image coding for noisy channels,” IEEE International Conference on Communications, June 1997.

301. A. Rao, D. Miller, K. Rose and A. Gersho, “Deterministically annealed mixture of experts models for statistical regression,” IEEE International Conference on Acoustics Speech and Signal Processing, April 1997.

302. S. Gadkari and K. Rose, “Analysis and design of embedded channel codes,” Proc. Conference on Information Sciences and Systems, Baltimore, March 1997.

303. S. L. Regunathan, K. Rose and S. Gadkari, “Multimode image coding for noisy channels,” IEEE Data Compression Conference, Snowbird Utah, March 1997.

304. S. Gadkari and K. Rose, “Evaluation of convolutional codes by error types simulation,” IEEE Global Telecommunications Conference, London, November 1996.

305. S. Gadkari and K. Rose, “Transmission energy allocation for robust multi-stage vector quantization,” 34th Annual Allerton Conference on Communication Control and Computing, October 1996.

306. S. Gadkari and K. Rose, “Embedded codes for combined source-channel coding,” 34th Annual Allerton Conference on Communication Control and Computing, October 1996.

307. R. Zamir and K. Rose, “Towards lossy Lempel-Ziv: natural type selection,” IEEE Information Theory Workshop, Haifa Israel, June 1996.

308. A. Rao, D. Miller, K. Rose and A. Gersho, “A generalized VQ method for combined compression and estimation,” IEEE International Conference on Acoustics Speech and Signal Processing, Atlanta, May 1996.

309. S. Gadkari and K. Rose, “Noisy channel relaxation for VQ design,” IEEE International Conference on Acoustics Speech and Signal Processing, Atlanta, May 1996.

310. D. Miller and K. Rose, “Tree-structured clustering via the minimum cross-entropy principle,” in Maximum Entropy and Bayesian Methods, G. R. Heidbreder (ed.), Kluwer Academic, 1996.

311. D. Miller, A. Rao, K. Rose, and A. Gersho, “An information theoretic learning algorithm for neural network classification,” Neural Information Processing Systems, Denver, November 1995.

312. D. Miller, A. Rao, K. Rose, and A. Gersho, “A maximum entropy approach for optimal statistical classification,” IEEE Workshop on Neural Networks in Signal Processing, Boston, September 1995.

313. D. Miller, A. Rao, K. Rose, and A. Gersho, “An information theoretic framework for optimization with application to supervised learning,” IEEE International Symposium on Information Theory, Whistler B.C., Canada, September 1995.

314. A. Rao, D. Miller, K. Rose and A. Gersho, “Generalized vector quantization: jointly optimal quantization and estimation,” IEEE International Symposium on Information Theory, Whistler B.C., Canada, September 1995.

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315. A. Rao, D. Miller, K. Rose and A. Gersho, “An information-theoretic approach for statistical regression with model growth by bifurcations,” 27th Annual Symposium on the Interface of Computer Science and Statistics, Pittsburgh, June 1995.

316. D. Miller, A. Rao, K. Rose, and A. Gersho, “An information-theoretic approach to optimal design of statistical classifiers,” Proc. Classification Society of North America, Annual Meeting, Denver, June 1995.

317. M. Lightstone, K. Rose and S. K. Mitra, “Locally optimal codebook design for quadtree-based vector quantization,” IEEE International Conference on Acoustics, Speech and Signal Processing, Detroit, May 1995.

318. S. Ramakrishnan, K. Rose and A. Gersho, “Constrained-storage vector quantization with a universal codebook,” IEEE Data Compression Conference, Snowbird Utah, March 1995.

319. D. Miller, K. Rose and P. A. Chou, “Deterministic annealing for trellis quantizer and HMM design using Baum-Welch re-estimation,” IEEE International Conference on Acoustics, Speech and Signal Processing, Adelaide Australia, April 1994.

320. K. Rose, D. Miller and A. Gersho, “Entropy-constrained tree-structured vector quantizer design by the minimum cross-entropy principle,” IEEE Data Compression Conference, Snowbird Utah, March 1994.

321. K. Rose and D. Miller, “A deterministic annealing algorithm for entropy-constrained vector quantizer design,” 27th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, November 1993.

322. D. Miller and K. Rose, “Tree-structured clustering via the minimum cross-entropy principle,” 1993 International Workshop on Maximum Entropy, Santa Barbara, August 1993.

323. K. Rose, “Data compression and clustering by deterministic annealing,” 25th Annual Symposium on the Interface of Computer Science and Statistics, San Diego, April 1993, (invited).

324. D. Miller and K. Rose, “An improved sequential search multistage vector quantizer,” IEEE Data Compression Conference, Snowbird Utah, March 1993.

325. K. Rose, “Rate-distortion computation and statistical physics,” IEEE International Symposium on Information Theory, San Antonio, January 1993.

326. D. Miller and K. Rose, “An improved tree-structured vector quantizer,” IEEE International Symposium on Information Theory, San Antonio, January 1993.

327. K. Rose and D. Miller, “Hierarchical clustering using deterministic annealing,” International Joint Conference on Neural Networks, Baltimore, June 1992.

328. K. Rose and D. Miller, “Constrained clustering for data assignment problems with examples of module placement,” IEEE International Symposium on Circuits and Systems, San Diego, May 1992.

329. D. Miller and K. Rose, “Joint source-channel vector quantization using deterministic annealing,” IEEE International Conference on Acoustics Speech and Signal Processing, San Francisco, March 1992.

330. K. Rose, E. Gurewitz and G. C. Fox, “Deterministic annealing, constrained clustering, and optimization,” IEEE International Joint Conference on Neural Networks, Singapore, November 1991.

331. K. Rose, E. Gurewitz and G. C. Fox, “A deterministic annealing approach to constrained clustering,” IEEE International Symposium on Information Theory, Budapest, June 1991.

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332. K. Rose, E. Gurewitz and G. C. Fox, “A nonconvex cost optimization approach to tracking multiple targets,” IEEE International Workshop on Robots and Intelligent Systems, Tsuchiura Ibaraki, Japan, July 1990.

333. I. Dinstein, K. Rose and A. Heiman, “Variable block-size transform image coding,” IAPR International Conference on Pattern Recognition, Rome, November 1988.

334. K. Rose, A. Heiman and I. Dinstein, “DCT/DST alternate-transform image coding,” IEEE Global Communication Conference, Tokyo, November 1987.

335. A. Heiman and K. Rose, “A universal real-time transformer for image coding,” IEEE TENCON '87, Seoul, August 1987

336. K. Rose and A. Heiman, “Enhancement of one-dimensional variable-length DPCM images corrupted by transmission errors,” IEEE International conference on Communications, Toronto, June 1986.