Connecting the dots in multi-class classification: From nearest subspace to collaborative representation
We present a novel multi-class classifier that strikes a balance between the nearest-subspace classifier, which assigns a test sample to the class that minimizes the distance between the test sample and its principal projection in the selected class, and a collaborative representation based classifier, which classifies a sample to the class that minimizes the distance between the collaborative components of the test sample by using all training samples from all classes as the dictionary and its...[Show more]
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|Source:||A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization|
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