Non-negative matrix factorization as a feature selection tool for maximum margin classifiers

@article{Gupta2011NonnegativeMF,
  title={Non-negative matrix factorization as a feature selection tool for maximum margin classifiers},
  author={Mithun Das Gupta and Jing Xiao},
  journal={CVPR 2011},
  year={2011},
  pages={2841-2848}
}
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition tool for multivariate data. Non-negative bases allow strictly additive combinations which have been shown to be part-based as well as relatively sparse. We pursue a discriminative decomposition by coupling NMF objective with a maximum margin classifier, specifically a support vector machine (SVM). Conversely, we propose an NMF based regularizer for SVM. We formulate the joint update equations and… CONTINUE READING

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