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singular value decomposition

278 papers

SVDS SVD

Papers

Multiple-Hypothesis Affine Region Estimation With Anisotropic LoG Filters ICCV 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Super-Resolution Off the Grid NeurIPS 2015 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 Convex Total Least Squares ICML 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Low-Rank Spectral Learning AISTATS 2014 Neural Word Embedding as Implicit Matrix Factorization NeurIPS 2014 Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts CVPR 2014 Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014 A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit CVPR 2013 Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013 Large-scale SVD and Manifold Learning JMLR 2013 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012 A Simpler Approach to Matrix Completion JMLR 2011 Learning Anchor Planes for Classification NeurIPS 2011 Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NeurIPS 2011 The Manifold Tangent Classifier NeurIPS 2011 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010