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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014
Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014
Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014
Clustered factor analysis of multineuronal spike data NIPS 2014
Grassmann Averages for Scalable Robust PCA CVPR 2014
A statistical model for tensor PCA NIPS 2014
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014
Low-dimensional models of neural population activity in sensory cortical circuits NIPS 2014
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014
Blossom Tree Graphical Models NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014
Tight convex relaxations for sparse matrix factorization NIPS 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
Recovery of Coherent Data via Low-Rank Dictionary Pursuit NIPS 2014
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NIPS 2014
Zeta Hull Pursuits: Learning Nonconvex Data Hulls NIPS 2014
A Compact and Discriminative Face Track Descriptor CVPR 2014
Human Body Shape Estimation Using a Multi-Resolution Manifold Forest CVPR 2014
Minimal Scene Descriptions from Structure from Motion Models CVPR 2014
Online Optimization for Max-Norm Regularization NIPS 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014
Better Feature Tracking Through Subspace Constraints CVPR 2014