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Multivariate statistics / Data analysis / Statistical models / Independent component analysis / Linear regression / Matrix / Maximum likelihood / Regression analysis / Statistics / Estimation theory / Econometrics


Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations
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Document Date: 2014-03-24 10:39:42

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City

Kyoto / Reykjavik / Helsinki / /

Company

Neural Information Processing Systems / Neural Networks / Zoran / Finland 4 ATR Cognitive Mechanisms Laboratories / /

Country

Japan / Jordan / Iceland / United Kingdom / Finland / /

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Facility

University of Helsinki / The University of Electro-Communications / /

IndustryTerm

energy correlation coefficient relative orientation / helsinki.fi/u/phoyer/software.html / multi-layer sparse coding network / Conjugate gradient algorithm / energy correlations / optimization algorithm / greedy algorithm / energy correlation coefficients / closed-form solution / energy correlation matrix / /

Organization

University of Electro-Communications / Tokyo / Graduate School / University of Helsinki / Helsinki / Department of Computer Science / Finnish Centre of Excellence / HIIT / Department of Mathematics and Statistics / Academy of Finland / /

Person

Grant Numbers / Hiroaki Sasaki / Aapo Hyv / Michael U. Gutmann / Hayaru Shouno / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

MATLAB / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / PLoS Computational Biology / /

Technology

Neuroscience / artificial intelligence / Conjugate gradient algorithm / Machine Learning / html / following optimization algorithm / Optimization Algorithm / /

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http /

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