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University of Illinois at Urbana-Champaign

Visual Action Search and Recognition

dc:creator Ning, Huazhong

thesis:degree_name Ph.D.

dc:date2015

Abstract

dc:description

The three approaches are applicable to different scenarios. Their effectiveness is tested on synthetic and real datasets.

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Electrical and Computer Engineering
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2015

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Ning, Huazhong
Contributors dc:contributor: Huang, Thomas S.

Subjects

dc:subject × 1

Artificial Intelligence

Rights

Language dc:language: eng

Identifiers

dc:identifier.*

Identifier: (MiAaPQ)AAI3347489
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/81118

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Ning, Huazhong. Visual Action Search and Recognition. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81118

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