Representation Learning

Sparse coding for multitask and transfer learning ICML 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse PCA through Low-rank Approximations ICML 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Sparse Quantization for Patch Description CVPR 2013 Sparse Subspace Denoising for Image Manifolds CVPR 2013 Sparse Uncorrelated Linear Discriminant Analysis ICML 2013 Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person ICCV 2013 Sparsity-Based Generalization Bounds for Predictive Sparse Coding ICML 2013 Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013 Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time ICCV 2013 Subcategory-Aware Object Classification CVPR 2013 Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013 Super-resolution via Transform-Invariant Group-Sparse Regularization ICCV 2013 Supervised Kernel Descriptors for Visual Recognition CVPR 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor ICCV 2013 Tag Taxonomy Aware Dictionary Learning for Region Tagging CVPR 2013 Tapkee: An Efficient Dimension Reduction Library JMLR 2013