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Probability / Statistical models / Machine learning / Estimation theory / Normal distribution / Generative model / Expectation–maximization algorithm / Filter / Mixture model / Statistics / Probability and statistics / Filter theory


LETTER Communicated by Michael Lewicki Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics
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Document Date: 2006-10-05 18:40:25


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File Size: 1,94 MB

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City

La Jolla / /

Company

GSMs / Monte Carlo / /

Country

United Kingdom / /

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Facility

Howard Hughes Medical Institute / Massachusetts Institute of Technology Soft Gaussian Scale Mixer Assignments / University College / Salk Institute / University of California / /

IndustryTerm

straightforward using standard tools / even finance / credibility networks / energy-based product / image processing / neural processing / signal processing / image processing literature / cortical processing / /

Organization

Computational Neurobiology Lab / Salk Institute for Biological Studies / Department of Biology / Massachusetts Institute of Technology / University College / University of California at San Diego / U.S.A. Peter Dayan dayan@gatsby.ucl.ac.uk Gatsby Computational Neuroscience Unit / /

Person

Odelia Schwartz / A. Peter Dayan dayan / A. Terrence J. Sejnowski / Michael Lewicki Soft Mixer / /

Position

Hierarchical Generative Model / /

ProvinceOrState

California / Massachusetts / /

Technology

Neuroscience / GSM / image processing / 2006 Massachusetts Institute of Technology / /

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