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The top documents tagged [strong classifier]
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An Efficient Approach to Smile Detection
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Basic Steps 1.Compute the x and y image derivatives 2.Classify each derivative as being caused by either shading or a reflectance change 3.Set derivatives
219 views
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Shared features and Joint Boosting Yuandong Tian Sharing visual features for multiclass and multiview object detection Sharing visual features for multiclass
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Technology
Face detection using the 3 x3 block rank patterns of gradient magnitude images
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Engineering
Multiple Classifier Systems
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Education
boosting algorithm
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AdaBoost & Genetic algorithms: application to pedestrian detection Yotam Abramson Ecole des Mines de Paris 9/12/05 Korea-France SafeMove Workshop
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A simple classifier Ridge regression A variation on standard linear regression Adds a “ridge” term that has the effect of “smoothing” the weights Equivalent
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A Robust Real Time Face Detection. Outline AdaBoost – Learning Algorithm Face Detection in real life Using AdaBoost for Face Detection Improvements
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Boosting of classifiers Ata Kaban. Motivation & beginnings Suppose we have a learning algorithm that is guaranteed with high probability to be slightly
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Boris Babenko 1, Ming-Hsuan Yang 2, Serge Belongie 1 1. University of California, San Diego 2. University of California, Merced OLCV, Kyoto, Japan
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Limitations of Cotemporary Classification Algorithms Major limitations of classification algorithms like Adaboost, SVMs, or Naïve Bayes include, Requirement
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