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The top documents tagged [geodesic distances]
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Ucinet 6 Users Guide
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Laboratory of Mathematics in Imaging Harvard Medical School Brigham and Women’s Hospital Fast and Accurate Redistancing for Level Set Methods & Multiscale
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International Contemporary Conflict, Complexity and the Hermeneutic Net Armando Geller & Scott Moss Centre for Policy Modelling Manchester Metropolitan
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Nonlinear Dimensionality Reduction Approach (ISOMAP) 2006. 2. 28 Young Ki Baik Computer Vision Lab. Seoul National University
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Scale Normalization for Isometric Shape Matching Yusuf Sahillioğlu and Yücel Yemez Computer Eng. Dept., Koç University, Istanbul, Turkey
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LLE and ISOMAP Analysis of Robot Images Rong Xu. Background Intuition of Dimensionality Reduction Linear Approach –PCA(Principal Component Analysis) Nonlinear
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1 Michael M. Bronstein Partial similarity of objects 17 December 2006 Partial similarity of objects, or how to compare a centaur to a horse Michael M
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NonLinear Dimensionality Reduction or Unfolding Manifolds Tennenbaum|Silva|Langford [Isomap] Roweis|Saul [Locally Linear Embedding] Presented by Vikas
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Recovering Articulated Object Models from 3D Range Data Dragomir Anguelov Daphne Koller Hoi-Cheung Pang Praveen Srinivasan Sebastian Thrun Computer Science
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Mesh Segmentation Zhenyu Shu 2008.5.21. References Gelfand N, Guibas L J. Shape segmentation using local slippage analysis [C]. Proceedings of the 2004
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Extending Cross-Generational Knowledge Flows Research in Edge Organizations Dr. Jay Liebowitz Professor, Carey Business School Johns Hopkins University
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