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Shape Classification Through Structured Learning of Matching Measures Longbin Chen University of California Santa Barbara, CAJulian J. McAuley
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Document Date: 2009-03-27 09:51:49


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File Size: 1,68 MB

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City

Matching / /

Company

IBM / /

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Facility

Matching Measures Longbin Chen University of California Santa Barbara / Matthew Turk University of California Santa Barbara / /

IndustryTerm

classification algorithm / systematic search / dynamic programming solution / good learning algorithm / inner product / dynamic programming matching algorithm / spectral matching algorithm / smith-waterman algorithm / dynamic programming algorithm / cubic time solution / integrated learning algorithm / shape classification algorithms / recognition algorithms / learning algorithm / shape matching algorithm / shape classification algorithm / using smith-waterman algorithm / /

Organization

Matthew Turk University of California Santa Barbara / Matching Measures Longbin Chen University of California Santa Barbara / /

Person

M. Maire / F. Sha / J. Malik / Y. Singer / H. Zhang / A. Berg / Turk / A. Frome / /

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Position

above model for s / Singer / /

Product

Pentax K-x Digital Camera / p2 Oq2 / p3 Oq3 / p4 Oq4 / /

ProgrammingLanguage

C / /

ProvinceOrState

California / /

PublishedMedium

Journal of Molecular Biology / Machine Learning / /

Technology

learning algorithm / matching algorithm / MPEG / SmithWaterman algorithm / spectral matching algorithm / recognition algorithms / integrated learning algorithm / dynamic programming algorithm / Machine learning / IDSC+DP algorithm / Smith-Waterman algorithm / classification algorithm / shape classification algorithms / shape matching algorithm / shape classification algorithm / good learning algorithm / dynamic programming matching algorithm / /

URL

http /