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Maximum Correntropy Criterion for Robust Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
In this paper, we present a sparse correntropy framework for computing robust sparse representations of face images for recognition. Compared with the state-of-the-art l(1)norm-based sparse representation classifier (SRC), which assumes that noise also has a sparse representation, our sparse algorithm is developed based on the maximum correntropy ...
Ran, He, Wei-Shi, Zheng, Bao-Gang, Hu
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