conftrace_

dimension reduction

120 papers

Explore in graph

Also known as

DR

Co-occurring keywords

dimensionality reduction (720) random projection (145) unsupervised learning (3264) principal component analysis (316) manifold learning (403) functional data analysis (35) high-dimensional datum (158) kernel methods (1097) feature selection (649) variable selection (146)

Papers

Super-Bit Locality-Sensitive Hashing NIPS 2012
Learning Manifolds with K-Means and K-Flats NIPS 2012
Supervised Dimension Reduction with Topic Models ACML 2012
Unsupervised Multiple Kernel Learning ACML 2011
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NIPS 2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010
Sparse Metric Learning via Smooth Optimization NIPS 2009
Compressed Least-Squares Regression NIPS 2009
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Blind source separation for over-determined delayed mixtures NIPS 2006
Dimension Reduction in Text Classification with Support Vector Machines JMLR 2005
Beyond Independent Components: Trees and Clusters JMLR 2003