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Artificial intelligence / Applied mathematics / Graphical models / Conditional random field / Activity recognition / Supervised learning / Hidden Markov model / Algorithm / Estimation theory / Statistics / Machine learning / Theoretical computer science


Conditional Random Fields for Activity Recognition Douglas L. Vail CMU-CS[removed]April, 2008
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Document Date: 2008-05-15 20:18:22

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File Size: 2,07 MB

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Company

SRI International / Air Force Research Laboratory / /

Country

United States / /

Facility

University of Washington Submitted / Computer Science Computer Science Department Carnegie Mellon University / /

IndustryTerm

natural language processing domain / feature selection algorithm / feature selection algorithms / /

OperatingSystem

L3 / /

Organization

University of Washington Submitted / National Science Foundation / Directorate of Contracting / U.S. government / School of Computer Science Computer Science Department Carnegie Mellon University Pittsburgh / Thesis Committee / Department of Justice / /

Person

Dieter Fox / Carlos Guestrin Dieter Fox / John Lafferty / Stefan Zickler / Michael Licitra / Manuela Veloso / Colin McMillen / Sonia Chernova / James Bruce / Carlos Guestrin / Scott Lenser / Douglas L. Vail / /

Position

author / advisors / Co-Chair / researcher / /

ProvinceOrState

Pennsylvania / /

Technology

natural language processing / two feature selection algorithms / feature selection algorithm / a third feature selection algorithm / Forward-Backward Algorithm / /

SocialTag