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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

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method AISTATS 2015
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015
Background Subtraction via Generalized Fused Lasso Foreground Modeling CVPR 2015
SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015
Intersecting Faces: Non-negative Matrix Factorization With New Guarantees ICML 2015
Analysis of Robust PCA via Local Incoherence NIPS 2015
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NIPS 2015
A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015
Online Learning of Eigenvectors ICML 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015
large scale canonical correlation analysis with iterative least squares NIPS 2014
Non-convex Robust PCA NIPS 2014
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014
Online Optimization for Max-Norm Regularization NIPS 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NIPS 2014
Nonnegative Sparse PCA with Provable Guarantees ICML 2014
Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances CVPR 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013
Efficient Higher-Order Clustering on the Grassmann Manifold ICCV 2013
Learning Multi-level Sparse Representations NIPS 2013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NIPS 2013