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Title:Visual Action Search and Recognition
Author(s):Ning, Huazhong
Doctoral Committee Chair(s):Huang, Thomas S.
Department / Program:Electrical and Computer Engineering
Discipline:Electrical and Computer Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Artificial Intelligence
Abstract:The three approaches are applicable to different scenarios. Their effectiveness is tested on synthetic and real datasets.
Issue Date:2008
Type:Text
Language:English
Description:145 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:http://hdl.handle.net/2142/81118
Other Identifier(s):(MiAaPQ)AAI3347489
Date Available in IDEALS:2015-09-25
Date Deposited:2008


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