Nonnegative matrix factorization using a robust error function
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[1] Takeo Kanade,et al. Robust L/sub 1/ norm factorization in the presence of outliers and missing data by alternative convex programming , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[2] Chris H. Q. Ding,et al. Robust tensor factorization using R1 norm , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[3] P. Paatero,et al. Positive matrix factorization applied to a curve resolution problem , 1998 .
[4] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[5] Chris H. Q. Ding,et al. Robust nonnegative matrix factorization using L21-norm , 2011, CIKM '11.
[6] Wu Li,et al. The Linear l1 Estimator and the Huber M-Estimator , 1998, SIAM J. Optim..
[7] Hongyuan Zha,et al. {\it R}$_{\mbox{1}}$-PCA: rotational invariant {\it L}$_{\mbox{1}}$-norm principal component analysis for robust subspace factorization , 2006, ICML 2006.
[8] C. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering , 2005 .
[9] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.