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Linear Algebra

480 directly classified papers

Papers per year

Papers

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing ICML 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014
Depth Enhancement via Low-rank Matrix Completion CVPR 2014
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NIPS 2014
Robust Tensor Decomposition with Gross Corruption NIPS 2014
Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices CVPR 2014
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD CVPR 2014
Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014
Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014
Discriminative Features via Generalized Eigenvectors ICML 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
Semi-Supervised Eigenvectors for Large-Scale Locally-Biased Learning JMLR 2014
Finding the Subspace Mean or Median to Fit Your Need CVPR 2014
Multi-Scale Spectral Decomposition of Massive Graphs NIPS 2014
Spectral Clustering of graphs with the Bethe Hessian NIPS 2014
Circulant Binary Embedding ICML 2014
Multiresolution Matrix Factorization ICML 2014
Low-Rank Spectral Learning AISTATS 2014
Intersecting singularities for multi-structured estimation ICML 2013
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013
Pass-efficient unsupervised feature selection NIPS 2013
Solving the multi-way matching problem by permutation synchronization NIPS 2013
Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013