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Data mining / Geostatistics / Machine learning / Attribute grammar / Tree structure / Hierarchical clustering / Statistics / Cluster analysis / Data analysis


Learning Hierarchical Linguistic Descriptions of Visual Datasets Roni Mittelman† , Min Sun‡ , Benjamin Kuipers† , Silvio Savarese† † Department of Electrical Engineering and Computer Science, University of Mic
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Document Date: 2014-04-08 01:52:55

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File Size: 1,53 MB

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Company

Prentice-Hall / Google / /

Country

Jordan / /

Currency

USD / /

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Facility

University of Washington / Interactively building / University of Michigan / /

IndustryTerm

visual recognition systems / hierarchical clustering algorithms / large internet / hierarchical clustering algorithm / important tool / Web Data / /

MusicAlbum

E / F=1 / /

Organization

University of Washington / University of Michigan / Ann Arbor / National Science Foundation / American Statistical Association / U.S. Securities and Exchange Commission / Department of Electrical Engineering and Computer Science / Department of Computer Science and Engineering / /

Person

I. Endres / C. Lin / David Forsyth / K. Chang / A. Farhadi / D. Hoiem / R. Fan / X. Wang / C. Hsieh / Silvio Savarese / Benjamin Kuipers / Min Sun / /

Position

model for the ATP / chair / Tree-Based Context Model for Object Recognition / /

Product

SUN09 / /

ProgrammingLanguage

PASCAL / /

PublishedMedium

Journal of Machine Learning Research / Journal of the American Statistical Association / /

Technology

hierarchical clustering algorithm / hierarchical clustering algorithms / ATP algorithm / Machine Learning / /

URL

http /

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