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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Diversity-Induced Multi-View Subspace Clustering CVPR 2015
Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015
Bilinear Random Projections for Locality-Sensitive Binary Codes CVPR 2015
Robust Principal Component Analysis on Graphs ICCV 2015
Fast Orthogonal Projection Based on Kronecker Product ICCV 2015
A Supervised Low-Rank Method for Learning Invariant Subspaces ICCV 2015
Hashing With Binary Autoencoders CVPR 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Local High-Order Regularization on Data Manifolds CVPR 2015
Autoencoder Trees ACML 2015
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities ACML 2015
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015
Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering CVPR 2015
Randomized Nonlinear Component Analysis ICML 2014
large scale canonical correlation analysis with iterative least squares NIPS 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014
An Information Geometry of Statistical Manifold Learning ICML 2014
Memory Efficient Kernel Approximation ICML 2014
Fast matrix completion without the condition number COLT 2014
Uniqueness of Ordinal Embedding COLT 2014
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Polya-gamma augmentations for factor models ACML 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014