Representation Learning

Dynamic visual attention: searching for coding length increments NeurIPS 2008 Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning NeurIPS 2008 Extended Grassmann Kernels for Subspace-Based Learning NeurIPS 2008 Gates NeurIPS 2008 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Interpreting the neural code with Formal Concept Analysis NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Learning Balls of Strings from Edit Corrections JMLR 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Learning Control Knowledge for Forward Search Planning JMLR 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Manifold Learning: The Price of Normalization JMLR 2008 Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008 Nonlinear causal discovery with additive noise models NeurIPS 2008