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 JCC  Vol.3 No.11 , November 2015
Laplacian Maximum Margin Criterion for Image Recognition
Abstract: Previous works have demonstrated that Laplacian embedding can well preserve the local intrinsic structure. However, it ignores the diversity and may impair the local topology of data. In this paper, we build an objective function to learn the local intrinsic structure that characterizes both the local similarity and diversity of data, and then combine it with global structure to build a scatter difference criterion. Experimental results in face recognition show the effectiveness of our proposed approach.
Cite this paper: Chen, F. , Wang, J. , Gao, Q. (2015) Laplacian Maximum Margin Criterion for Image Recognition. Journal of Computer and Communications, 3, 58-63. doi: 10.4236/jcc.2015.311010.
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