Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
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Martha White | Yaoliang Yu | Xinhua Zhang | Dale Schuurmans | Ruitong Huang | Xinhua Zhang | Dale Schuurmans | Martha White | Ruitong Huang | Yaoliang Yu
[1] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[2] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[3] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[4] D. Petz. A survey of certain trace inequalities , 1994 .
[5] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[6] Gábor Pataki,et al. On the Rank of Extreme Matrices in Semidefinite Programs and the Multiplicity of Optimal Eigenvalues , 1998, Math. Oper. Res..
[7] Sanjoy Dasgupta,et al. A Generalization of Principal Components Analysis to the Exponential Family , 2001, NIPS.
[8] Geoffrey J. Gordon. Generalized^2 Linear^2 Models , 2002, NIPS 2002.
[9] Kilian Q. Weinberger,et al. Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[10] Tommi S. Jaakkola,et al. Maximum-Margin Matrix Factorization , 2004, NIPS.
[11] R. Tibshirani,et al. Sparse Principal Component Analysis , 2006 .
[12] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[13] Geoffrey J. Gordon,et al. The support vector decomposition machine , 2006, ICML.
[14] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[15] Geoffrey E. Hinton. Learning multiple layers of representation , 2007, Trends in Cognitive Sciences.
[16] Massimiliano Pontil,et al. Convex multi-task feature learning , 2008, Machine Learning.
[17] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[18] Daureen Steinberg. COMPUTATION OF MATRIX NORMS WITH APPLICATIONS TO ROBUST OPTIMIZATION , 2007 .
[19] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[20] Geoffrey J. Gordon,et al. Closed-form supervised dimensionality reduction with generalized linear models , 2008, ICML '08.
[21] Sebastian Nowozin,et al. A decoupled approach to exemplar-based unsupervised learning , 2008, ICML '08.
[22] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[23] Jean Ponce,et al. Convex Sparse Matrix Factorizations , 2008, ArXiv.
[24] David M. Bradley,et al. Differentiable Sparse Coding , 2008, NIPS.
[25] Feng Liu,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries in Wavelet Domain , 2009, 2009 Fifth International Conference on Image and Graphics.
[26] Alexander Olshevsky,et al. Matrix P-norms are NP-hard to approximate if p ≠1,2,∞ , 2009 .
[27] A. Ng,et al. Exponential Family Sparse Coding with Application to Self-taught Learning , 2009, IJCAI.
[28] David M. Bradley,et al. Convex Coding , 2009, UAI.
[29] Julien Mairal,et al. Proximal Methods for Sparse Hierarchical Dictionary Learning , 2010, ICML.
[30] Pablo A. Parrilo,et al. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization , 2007, SIAM Rev..
[31] Trevor Darrell,et al. Factorized Latent Spaces with Structured Sparsity , 2010, NIPS.
[32] Julien M. Hendrickx,et al. Matrix p-Norms Are NP-Hard to Approximate If p!=q1, 2, INFINITY , 2010, SIAM J. Matrix Anal. Appl..
[33] Robert D. Nowak,et al. Transduction with Matrix Completion: Three Birds with One Stone , 2010, NIPS.
[34] Proximal Methods for Sparse Hierarchical Dictionary Learning: Supplementary Materials , 2010 .
[35] Ruslan Salakhutdinov,et al. Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm , 2010, NIPS.
[36] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.
[37] Constantine Caramanis,et al. Robust PCA via Outlier Pursuit , 2010, IEEE Transactions on Information Theory.
[38] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2008, Found. Comput. Math..