Journal of Machine Learning Research · 2010 · 39 citations · 0 references
ComputingComputer ScienceNeuroscienceGenomic Data AnalysisMachine LearningOptimizationDimensionality ReductionLarge-scale OptimizationMatrix FactorizationOptimization For Machine LearningPrincipal Component AnalysisRepresentation LearningBasis ExpansionDictionary CodingDictionary LearningNon-negative Matrix FactorizationOnline OptimizationSparse CodingSparse LearningSparse Signal Representation
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics. This paper focus...