Correlated topographic analysis: estimating an ordering of correlated components
DOI10.1007/s10994-013-5351-xzbMath1273.62134OpenAlexW2080837521WikidataQ55499143 ScholiaQ55499143MaRDI QIDQ374131
Hiroaki Sasaki, Hayaru Shouno, Aapo Hyvärinen, Michael U. Gutmann
Publication date: 22 October 2013
Published in: Machine Learning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10994-013-5351-x
independent component analysisnatural language processinghigher-order featuresnatural image statisticstopographic representation
Factor analysis and principal components; correspondence analysis (62H25) Measures of association (correlation, canonical correlation, etc.) (62H20) Natural language processing (68T50)
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Cites Work
- An Isserlis' theorem for mixed Gaussian variables: Application to the auto-bispectral density
- Natural image statistics. A probabilistic approach to early computational vision.
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