Dimensionality Reduction

Projective Low-rank Subspace Clustering via Learning Deep Encoder IJCAI 2017 Quantifying the Informativeness of Similarity Measurements JMLR 2017 Reconstruction-based Unsupervised Feature Selection: An Embedded Approach IJCAI 2017 Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017 Representing Sentences as Low-Rank Subspaces ACL 2017 Robust Discriminative Clustering with Sparse Regularizers JMLR 2017 Robust Joint and Individual Variance Explained CVPR 2017 Scalable Person Re-Identification on Supervised Smoothed Manifold CVPR 2017 Stochastic Approximation for Canonical Correlation Analysis NeurIPS 2017 Storage Fit Learning with Unlabeled Data IJCAI 2017 Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017 Tensor Decomposition via Simultaneous Power Iteration ICML 2017 Tensor Decomposition with Smoothness ICML 2017 Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017 Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017 Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding EMNLP 2017 Word Re-Embedding via Manifold Dimensionality Retention EMNLP 2017 An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds CVPR 2016 A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Beyond CCA: Moment Matching for Multi-View Models ICML 2016 Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis NeurIPS 2016 Feature selection in functional data classification with recursive maxima hunting NeurIPS 2016 General Tensor Spectral Co-clustering for Higher-Order Data NeurIPS 2016 Geometric Mean Metric Learning ICML 2016