← Keywords

dimensionality reduction

720 papers

Explore in graph

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

On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
An Analysis of Inference with the Universum NIPS 2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Bilinear Discriminant Component Analysis JMLR 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
Compressed Regression NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Random Projections for Manifold Learning NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Learning the 2-D Topology of Images NIPS 2007
Subspace-Based Face Recognition in Analog VLSI NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
In-Network PCA and Anomaly Detection NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Large Margin Component Analysis NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights NIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
Nonnegative Sparse PCA NIPS 2006