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Machine learning / Support vector machine / Wavelet / Stochastic gradient descent / Cross-validation / Viseme / Nonlinear regression / Statistics / Regression analysis / Statistical classification


MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES
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Document Date: 2001-04-10 14:19:22


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City

Bombay / Learning / Freiburg / /

Company

Daimler-Benz / Siemens Corporate Research Inc. / AT&T / Eastman Kodak Company / CENTER FOR BIOLOGICAL AND COMPUTATIONAL / Daimler / /

Country

Germany / India / /

Facility

Massachusetts Institute of Technology / Artificial Intelligence Laboratory / MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY / /

IndustryTerm

speech recognition systems / potential applications / inner product / real-time applications / stochastic gradient descent algorithm / learning algorithm / /

Organization

Department of Brain and Cognitive Sciences / Artificial Intelligence Laboratory / National Science Foundation / Center for Biological and Computational Learning / CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo / Massachusetts Institute of Technology / MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY / /

Person

C. J. Taylor / Mike Jones / Vinay P. Kumar / C.J. Taylor G.J. Edwards / T. F. Cootes / Thomas Vetter / J. Taylor G.J. Edwards / /

Product

Haar coefficients / /

ProgrammingLanguage

C / /

ProvinceOrState

Massachusetts / /

Technology

learning algorithm / speech recognition / artificial intelligence / Gesture Recognition / stochastic gradient descent algorithm / /

SocialTag