Representation Learning

Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Modeling Natural Sounds with Modulation Cascade Processes NeurIPS 2007 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Object Recognition by Scene Alignment NeurIPS 2007 People Tracking with the Laplacian Eigenmaps Latent Variable Model NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Random Projections for Manifold Learning NeurIPS 2007 Receptive Fields without Spike-Triggering NeurIPS 2007 Refinable Kernels JMLR 2007 Relational Dependency Networks JMLR 2007 Retrieved context and the discovery of semantic structure NeurIPS 2007 Semantic Modeling of Places using Objects RSS 2007 Semi-Supervised Multitask Learning NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 Spatial Latent Dirichlet Allocation NeurIPS 2007 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007