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What is Discriminative Sparse Coding in Vision about?

This document discusses learning dictionaries for image analysis tasks in a discriminative manner. It describes learning dictionaries to distinguish between two classes by minimizing reconstruction error for signals from one class while maximizing it for the other class. Applications to texture segmentation, pixel classification, and edge detection are shown to outperform non-discriminative methods. Discriminative sparse representations are also found to significantly improve contour-based object classifier

Author

Jose Silva

Language

EN