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matrix decomposition

119 papers

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Also known as

SVD

Co-occurring keywords

model compression (3283) matrix factorization (529) low-rank approximation (322) dimensionality reduction (720) principal component analysis (316) unsupervised learning (3255) low-rank decomposition (36) singular value decomposition (216) robust principal component analysis (62) convex optimization (1320)

Papers

Online Robust PCA via Stochastic Optimization NIPS 2013
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition ICCV 2013
The CAM Software for Nonnegative Blind Source Separation in R-Java JMLR 2013
Joint Modeling of a Matrix with Associated Text via Latent Binary Features NIPS 2012
NIMFA : A Python Library for Nonnegative Matrix Factorization JMLR 2012
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NIPS 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NIPS 2012
Minimax Localization of Structural Information in Large Noisy Matrices NIPS 2011
CUR from a Sparse Optimization Viewpoint NIPS 2010
Robust PCA via Outlier Pursuit NIPS 2010
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Probabilistic Matrix Factorization NIPS 2007
Towards a general independent subspace analysis NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005
Non-negative Matrix Factorization with Sparseness Constraints JMLR 2004