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Representation Learning

18863 directly classified papers

Papers per year

Papers

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
Learning on Graph with Laplacian Regularization NIPS 2006
Large Margin Component Analysis NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Recursive Attribute Factoring NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Efficient sparse coding algorithms NIPS 2006
In-Network PCA and Anomaly Detection NIPS 2006
Towards a general independent subspace analysis NIPS 2006
Multi-Task Feature Learning NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
MLLE: Modified Locally Linear Embedding Using Multiple Weights NIPS 2006
Unsupervised Regression with Applications to Nonlinear System Identification NIPS 2006
Conditional mean field NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
Emergence of conjunctive visual features by quadratic independent component analysis NIPS 2006
Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005