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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
ICA based on a Smooth Estimation of the Differential Entropy NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Learning the 2-D Topology of Images NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
Random Projections for Manifold Learning NIPS 2007
Discriminative K-means for Clustering NIPS 2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007
Heterogeneous Component Analysis NIPS 2007
Bilinear Discriminant Component Analysis JMLR 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data NIPS 2007
Subspace-Based Face Recognition in Analog VLSI NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007
An Analysis of Inference with the Universum NIPS 2007
In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006