dimensionality reduction

Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010 Locally Linear Denoising on Image Manifolds AISTATS 2010 On motion and force controllability of grasping hands with postural synergies RSS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Quadratic Programming Feature Selection JMLR 2010 Random Projections for k-means Clustering NeurIPS 2010 Random Projection Trees Revisited NeurIPS 2010 Sample Complexity of Testing the Manifold Hypothesis NeurIPS 2010 Simple Exponential Family PCA AISTATS 2010 Unsupervised Kernel Dimension Reduction NeurIPS 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010 Compressed Least-Squares Regression NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Learning transport operators for image manifolds NeurIPS 2009 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NeurIPS 2009