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Representation Learning

18863 directly classified papers

Papers per year

Papers

Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
implicit Online Learning with Kernels NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NIPS 2006
Learning to parse images of articulated bodies NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Nonnegative Sparse PCA NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Convergence of Laplacian Eigenmaps NIPS 2006
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Blind source separation for over-determined delayed mixtures NIPS 2006
Learning to Traverse Image Manifolds NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Recursive ICA NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Sparse Representation for Signal Classification NIPS 2006