A Regularized Correntropy Framework for Robust Pattern Recognition

Abstract

This letter proposes a new multiple linear regression model using regularized correntropy for robust pattern recognition. First, we motivate the use of correntropy to improve the robustness of the classical mean square error (MSE) criterion that is sensitive to outliers. Then an l regularization scheme is imposed on the correntropy to learn robust and… (More)
DOI: 10.1162/NECO_a_00155

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@article{He2011ARC, title={A Regularized Correntropy Framework for Robust Pattern Recognition}, author={Ran He and Wei-Shi Zheng and Bao-Gang Hu and Xiangwei Kong}, journal={Neural Computation}, year={2011}, volume={23}, pages={2074-2100} }