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Representation Learning

18863 directly classified papers

Papers per year

Papers

Free energy score space NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Learning Balls of Strings from Edit Corrections JMLR 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Scalable Algorithms for String Kernels with Inexact Matching NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Using matrices to model symbolic relationship NIPS 2008
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Simple Local Models for Complex Dynamical Systems NIPS 2008
Non-stationary dynamic Bayesian networks NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Interpreting the neural code with Formal Concept Analysis NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Unsupervised Learning of Visual Sense Models for Polysemous Words NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
Learning Taxonomies by Dependence Maximization NIPS 2008
Reducing statistical dependencies in natural signals using radial Gaussianization NIPS 2008
Sparse probabilistic projections NIPS 2008
Spectral Hashing NIPS 2008
Supervised Dictionary Learning NIPS 2008