Representation Learning

Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012 Density-Difference Estimation NeurIPS 2012 Discriminatively Trained Sparse Code Gradients for Contour Detection NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NeurIPS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 Emergence of Object-Selective Features in Unsupervised Feature Learning NeurIPS 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012 Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation AISTATS 2012 Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Factorized Diffusion Map Approximation AISTATS 2012 Feature-Based Prediction of Trajectories for Socially Compliant Navigation RSS 2012 Feature Selection via Dependence Maximization JMLR 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012 Gradient-based kernel method for feature extraction and variable selection NeurIPS 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Hamming Distance Metric Learning NeurIPS 2012