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- W2616552280 abstract "Recently, L1-2DLDA was developed to improve the robustness of 2DLDA. However, the obtained solution does not maximize the corresponding trace ratio objective function, which is the essential objective function for general supervised dimensionality reduction. To handle this problem, we combine auxiliary function and non-greedy algorithm to solve trace ratio L1-2DLDA. Extensive experimental results on three face databases illustrate that our proposed algorithm can obtain a large objective function value and has better performance." @default.
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- W2616552280 date "2017-11-01" @default.
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- W2616552280 title "Trace ratio 2DLDA with L1-norm optimization" @default.
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- W2616552280 doi "https://doi.org/10.1016/j.neucom.2017.05.037" @default.
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