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Representation Learning

18863 directly classified papers

Papers per year

Papers

A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
Semantic Modeling of Places using Objects RSS 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007
Random Features for Large-Scale Kernel Machines NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
Learning to parse images of articulated bodies NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
In-Network PCA and Anomaly Detection NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006
Fast Iterative Kernel PCA NIPS 2006
Blind source separation for over-determined delayed mixtures NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Emergence of conjunctive visual features by quadratic independent component analysis NIPS 2006