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Fast Exact Inference for Recursive Cardinality Models Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan P. Adams, Dept. of Computer Science Sch. of Eng. & Appl. Sci. University of Toronto
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Document Date: 2012-06-30 05:37:11


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File Size: 1,43 MB

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Company

Gould / Recursive Cardinality Potentials Group / BP / MIT Press / Aerospace Electronic Systems / M. & Kaelbling L. P. / AAAI Press / /

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Facility

Group University / University of Toronto Harvard University / /

IndustryTerm

lesser-known algorithms / grid search / vision applications / energy function / graph cut-like algorithms / polynomial-time algorithms / low energy conformations / chain algorithm / convolution tree algorithm / divide-and-conquer algorithm / earlier algorithms / energy function consisting / natural language processing / Statistical applications / tree algorithm / sparse higher order energy functions / approximate inference algorithm / /

Organization

University of Toronto Harvard University / MIT / UC Berkeley / Department of Statistics / University of Toronto / /

Person

Kevin Swersky / Richard S. Zemel / Ryan P. Adams / Daniel Tarlow / Morgan Kaufmann / /

Position

Major / Fisher / /

ProgrammingLanguage

RC / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

graph cut-like algorithms / approximate inference algorithm / 2.3 Summation Algorithms / earlier algorithms / natural language processing / base algorithm / PL algorithm / FFT algorithm / artificial intelligence / lesser-known algorithms / convolution tree algorithm / chain algorithm / polynomial-time algorithms / One algorithm / 5.1 Detailed Description The algorithm / machine learning / Tree algorithm / RC algorithm / FFT Tree algorithm / divide-and-conquer algorithm / computed using the FFT tree algorithm / /

URL

http /

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