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https://hdl.handle.net/2142/81118
Description
Title
Visual Action Search and Recognition
Author(s)
Ning, Huazhong
Issue Date
2008
Doctoral Committee Chair(s)
Huang, Thomas S.
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Artificial Intelligence
Language
eng
Abstract
The three approaches are applicable to different scenarios. Their effectiveness is tested on synthetic and real datasets.
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