Efficient and Robust Feature Extraction by Maximum Margin Criterion
Li, Haifeng, Jiang, Tao, Zhang, Keshu
–Neural Information Processing Systems
A new feature extraction criterion, maximum margin criterion (MMC), is proposed in this paper. This new criterion is general in the sense that, when combined with a suitable constraint, it can actually give rise to the most popular feature extractor in the literature, linear discriminate analysis (LDA).
Neural Information Processing Systems
Dec-31-2004
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- North America > United States
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- Research Report (0.31)
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