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Sparse representation-based open set recognition
Descriptive
TitleInfo
Title
Sparse representation-based open set recognition
Name
(type = personal)
NamePart
(type = family)
Zhang
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He
NamePart
(type = date)
1992-
DisplayForm
He Zhang
Role
RoleTerm
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author
Name
(type = personal)
NamePart
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Patel
NamePart
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VIshal M
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VIshal M Patel
Affiliation
Advisory Committee
Role
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chair
Name
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NamePart
Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
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theses
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2016
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2016-05
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2016
Place
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xx
Language
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eng
Abstract
(type = abstract)
In this thesis, we study an open set recognition algorithm that is based on the Sparse Representation-based Classification (SRC) method. By modeling the tail distributions of the matched and non-matched reconstruction errors using the statistical Extreme Value Theory (EVT), we simplify the open set recognition problem into a set of hy- pothesis testing problems. The confidence scores corresponding to the tail distributions of a novel test sample are then fused to determine its identity. The effectiveness of the proposed method is demonstrated using three publicly available image and object classification datasets and it is shown that this method can perform significantly better than many competitive open set recognition algorithms.
Subject
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Topic
Electrical and Computer Engineering
Subject
(authority = ETD-LCSH)
Topic
Computer vision
Subject
(authority = ETD-LCSH)
Topic
Image processing
Subject
(authority = ETD-LCSH)
Topic
Extreme value theory
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD_7234
PhysicalDescription
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electronic resource
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application/pdf
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Extent
1 online resource (ix, 27 p. : ill.)
Note
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M.S.
Note
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Includes bibliographical references
Note
(type = statement of responsibility)
by He Zhang
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T34J0HC0
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
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Zhang
GivenName
He
Role
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Type
Permission or license
DateTime
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2016-04-14 14:18:50
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Name
he zhang
Role
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Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
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2016-04-13T12:57:34
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2016-04-13T12:57:34
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