CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition.

IEEE Transactions on Image Processing(2014)

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摘要
In this paper, we propose a novel approach called class-specific maximization of mutual information (CSMMI) using a submodular method, which aims at learning a compact and discriminative dictionary for each class. Unlike traditional dictionary-based algorithms, which typically learn a shared dictionary for all of the classes, we unify the intraclass and interclass mutual information (MI) into an s...
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关键词
Dictionaries,Feature extraction,Linear programming,Complexity theory,Gesture recognition,Entropy,Histograms
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