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dimensionality reduction

720 papers

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Also known as

SDR PCA DR

Co-occurring keywords

manifold learning (402) principal component analysis (316) feature extraction (1578) random projection (145) unsupervised learning (3255) representation learning (6174) kernel methods (1096) metric learning (1189) feature selection (649) matrix factorization (529)

Papers

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013
Fast High Dimensional Vector Multiplication Face Recognition ICCV 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Sparse Uncorrelated Linear Discriminant Analysis ICML 2013
Efficient Multi-label Classification with Many Labels ICML 2013
Scalable Optimization of Neighbor Embedding for Visualization ICML 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Non-Linear Stationary Subspace Analysis with Application to Video Classification ICML 2013
Modeling Musical Influence with Topic Models ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
Compressive Feature Learning NIPS 2013
Stochastic Optimization of PCA with Capped MSG NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Pass-efficient unsupervised feature selection NIPS 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012
Projection Retrieval for Classification NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012
Transelliptical Component Analysis NIPS 2012
Learning Manifolds with K-Means and K-Flats NIPS 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Identification of Recurrent Patterns in the Activation of Brain Networks NIPS 2012
Convex Multi-view Subspace Learning NIPS 2012
A Geometric take on Metric Learning NIPS 2012