dimensionality reduction

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections CVPR 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 Least Informative Dimensions NeurIPS 2013 Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013 Local Fisher Discriminant Analysis for Pedestrian Re-identification CVPR 2013 Memory Limited, Streaming PCA NeurIPS 2013 Modeling Musical Influence with Topic Models ICML 2013 Non-Linear Stationary Subspace Analysis with Application to Video Classification ICML 2013 One-shot learning and big data with n=2 NeurIPS 2013 Online PCA for Contaminated Data NeurIPS 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Parallel Vector Field Embedding JMLR 2013 Pass-efficient unsupervised feature selection NeurIPS 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013 Recovering the Optimal Solution by Dual Random Projection COLT 2013 Robust Bloom Filters for Large MultiLabel Classification Tasks NeurIPS 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013 Scalable Optimization of Neighbor Embedding for Visualization ICML 2013 Sparse Subspace Denoising for Image Manifolds CVPR 2013 Sparse Uncorrelated Linear Discriminant Analysis ICML 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 The Fast Convergence of Incremental PCA NeurIPS 2013