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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

Demixed Principal Component Analysis NIPS 2011
Sparse Manifold Clustering and Embedding NIPS 2011
Locally Defined Principal Curves and Surfaces JMLR 2011
Dimensionality Reduction for Spectral Clustering AISTATS 2011
The Stationary Subspace Analysis Toolbox JMLR 2011
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Inductive Regularized Learning of Kernel Functions NIPS 2010
Random Projection Trees Revisited NIPS 2010
On motion and force controllability of grasping hands with postural synergies RSS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
Efficient Optimization for Discriminative Latent Class Models NIPS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010
Worst-Case Linear Discriminant Analysis NIPS 2010
Random Projections for $k$-means Clustering NIPS 2010
Sample Complexity of Testing the Manifold Hypothesis NIPS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010
Fluid Dynamics Models for Low Rank Discriminant Analysis AISTATS 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010
Humans Learn Using Manifolds, Reluctantly NIPS 2010
Quadratic Programming Feature Selection JMLR 2010
Identifying graph-structured activation patterns in networks NIPS 2010
Simple Exponential Family PCA AISTATS 2010
Locally Linear Denoising on Image Manifolds AISTATS 2010