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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

Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
Learning transport operators for image manifolds NIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NIPS 2009
Probabilistic Relational PCA NIPS 2009
Compressed Least-Squares Regression NIPS 2009
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Dimensionality Reduction for Data in Multiple Feature Representations NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Manifold Learning: The Price of Normalization JMLR 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Deflation Methods for Sparse PCA NIPS 2008
Robust Kernel Principal Component Analysis NIPS 2008
Reducing statistical dependencies in natural signals using radial Gaussianization NIPS 2008
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
Visualizing Data using t-SNE JMLR 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008