Linear Algebra

Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013 Intersecting singularities for multi-structured estimation ICML 2013 Large-scale SVD and Manifold Learning JMLR 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Memory Limited, Streaming PCA NeurIPS 2013 Multilinear Multitask Learning ICML 2013 Multi-target Tracking by Rank-1 Tensor Approximation CVPR 2013 Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013 Optimal Orthogonal Basis and Image Assimilation: Motion Modeling ICCV 2013 Pass-efficient unsupervised feature selection NeurIPS 2013 Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013 Similarity-based Clustering by Left-Stochastic Matrix Factorization JMLR 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013 Solving the multi-way matching problem by permutation synchronization NeurIPS 2013 Tensor-Based Human Body Modeling CVPR 2013 Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances CVPR 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally JMLR 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012 Refinement of Operator-valued Reproducing Kernels JMLR 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012