subspace learning

Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods COLT 2018 Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective CVPR 2018 Theoretical Analysis of Sparse Subspace Clustering with Missing Entries ICML 2018 Adaptive Hypergraph Learning for Unsupervised Feature Selection IJCAI 2017 Flexible Orthogonal Neighborhood Preserving Embedding IJCAI 2017 Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017 Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017 Robust Joint and Individual Variance Explained CVPR 2017 Tensor Biclustering NeurIPS 2017 A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016 Discriminatively Embedded K-Means for Multi-View Clustering CVPR 2016 Online Learning with Low Rank Experts COLT 2016 Pairwise Linear Regression Classification for Image Set Retrieval CVPR 2016 Subspace Learning with Partial Information JMLR 2016 A Supervised Low-Rank Method for Learning Invariant Subspaces ICCV 2015 Discriminative Low-Rank Tracking ICCV 2015 Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015 Jointly Learning Heterogeneous Features for RGB-D Activity Recognition CVPR 2015 Learning Query and Image Similarities With Ranking Canonical Correlation Analysis ICCV 2015 Local Subspace Collaborative Tracking ICCV 2015 Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015 Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning CVPR 2015 Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015 Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition CVPR 2015 SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015