File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Transfer discriminative logmaps

TitleTransfer discriminative logmaps
Authors
KeywordsCommon features
Cross-domain
Dimensionality reduction algorithms
Geodesic distances
Geometric information
Issue Date2009
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (PCM 2009), Bangkok, Thailand, 15-18 December 2009. In Lecture Notes In Computer Science, 2009, v. 5879, p. 131-143 How to Cite?
AbstractIn recent years, transfer learning has attracted much attention in multimedia. In this paper, we propose an efficient transfer dimensionality reduction algorithm called transfer discriminative Logmaps (TDL). TDL finds a common feature so that 1) the quadratic distance between the distribution of the training set and that of the testing set is minimized and 2) specific knowledge of the training samples can be conveniently delivered to or shared with the testing samples. Drawing on this common feature in the representation space, our objective is to develop a linear subspace in which discriminative and geometric information can be exploited. TDL adopts the margin maximization to identify discriminative information between different classes, while Logmaps is used to preserve the local-global geodesic distance as well as the direction information. Experiments carried out on both synthetic and real-word image datasets show the effectiveness of TDL for cross-domain face recognition and web image annotation. © 2009 Springer-Verlag Berlin Heidelberg.
DescriptionLNCS v. 5879 is conference proceedings of 10th PCM 2009
Persistent Identifierhttp://hdl.handle.net/10722/125704
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorSi, Sen_HK
dc.contributor.authorTao, Den_HK
dc.contributor.authorChan, KPen_HK
dc.date.accessioned2010-10-31T11:47:03Z-
dc.date.available2010-10-31T11:47:03Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (PCM 2009), Bangkok, Thailand, 15-18 December 2009. In Lecture Notes In Computer Science, 2009, v. 5879, p. 131-143en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125704-
dc.descriptionLNCS v. 5879 is conference proceedings of 10th PCM 2009-
dc.description.abstractIn recent years, transfer learning has attracted much attention in multimedia. In this paper, we propose an efficient transfer dimensionality reduction algorithm called transfer discriminative Logmaps (TDL). TDL finds a common feature so that 1) the quadratic distance between the distribution of the training set and that of the testing set is minimized and 2) specific knowledge of the training samples can be conveniently delivered to or shared with the testing samples. Drawing on this common feature in the representation space, our objective is to develop a linear subspace in which discriminative and geometric information can be exploited. TDL adopts the margin maximization to identify discriminative information between different classes, while Logmaps is used to preserve the local-global geodesic distance as well as the direction information. Experiments carried out on both synthetic and real-word image datasets show the effectiveness of TDL for cross-domain face recognition and web image annotation. © 2009 Springer-Verlag Berlin Heidelberg.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectCommon features-
dc.subjectCross-domain-
dc.subjectDimensionality reduction algorithms-
dc.subjectGeodesic distances-
dc.subjectGeometric information-
dc.titleTransfer discriminative logmapsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0302-9743&volume=5879&spage=131&epage=143&date=2009&atitle=Transfer+discriminative+logmaps-
dc.identifier.emailChan, KP:kpchan@cs.hku.hken_HK
dc.identifier.authorityChan, KP=rp00092en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1007/978-3-642-10467-1_11en_HK
dc.identifier.scopuseid_2-s2.0-76349089561en_HK
dc.identifier.hkuros176308en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-76349089561&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5879en_HK
dc.identifier.spage131en_HK
dc.identifier.epage143en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (PCM 2009), Bangkok, Thailand, 15-18 December 2009. In Lecture Notes In Computer Science, 2009, v. 5879, p. 131-143-
dc.identifier.scopusauthoridSi, S=35422764200en_HK
dc.identifier.scopusauthoridTao, D=7102600334en_HK
dc.identifier.scopusauthoridChan, KP=7406032820en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats