A Two-Layer Model of Natural Stimuli Estimated with Score Matching
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Publication:3164217
DOI10.1162/NECO_a_00010zbMath1205.68292WikidataQ44409352 ScholiaQ44409352MaRDI QIDQ3164217
Publication date: 27 October 2010
Published in: Neural Computation (Search for Journal in Brave)
Related Items (6)
Necessary and sufficient conditions of proper estimators based on self density ratio for unnormalized statistical models ⋮ Independent component analysis: recent advances ⋮ Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities ⋮ Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis ⋮ Learning Visual Spatial Pooling by Strong PCA Dimension Reduction ⋮ Simultaneous Estimation of Nongaussian Components and Their Correlation Structure
Cites Work
- Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
- Natural image statistics. A probabilistic approach to early computational vision.
- Some extensions of score matching
- Independent component analysis, a new concept?
- Topographic Independent Component Analysis
- Training Products of Experts by Minimizing Contrastive Divergence
- Topographic Product Models Applied to Natural Scene Statistics
- A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals
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