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Representation Learning

18863 directly classified papers

Papers per year

Papers

Forecastable Component Analysis ICML 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013
Robust Dictionary Learning by Error Source Decomposition ICCV 2013
Semantic-Aware Co-indexing for Image Retrieval ICCV 2013
Two-Point Gait: Decoupling Gait from Body Shape ICCV 2013
Fine-Grained Categorization by Alignments ICCV 2013
Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time ICCV 2013
Handwritten Word Spotting with Corrected Attributes ICCV 2013
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization ICCV 2013
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013
Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
Mid-level Visual Element Discovery as Discriminative Mode Seeking NIPS 2013
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NIPS 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
The Fast Convergence of Incremental PCA NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
On Algorithms for Sparse Multi-factor NMF NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
Using multiple samples to learn mixture models NIPS 2013
Provable Subspace Clustering: When LRR meets SSC NIPS 2013