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This paper aims at providing a general method for feature extraction and recognition. The most essential issues for pattern recognition include extracting discriminant features and improving recognition accuracy. Kernel Entropy Component Analysis (KECA), as a new method for data transformation and dimensionality reduction, has attracted more attentions. However, as KECA only reveals structure relating...
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