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Conference Paper: DTTM: a discriminative temporal topic model for facial expression recognition

TitleDTTM: a discriminative temporal topic model for facial expression recognition
Authors
KeywordsDirichlet prior
Discriminative ability
Facial expression recognition
Latent dirichlet allocations
Temporal information
Issue Date2011
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 7th International Symposium on Visual Computing ( ISVC 2011), Las Vegas, NV., 26-28 September 2011. In Lecture Notes in Computer Science, 2011, v. 6938 pt. 1, p. 596-606 How to Cite?
AbstractThis paper presents a discriminative temporal topic model (DTTM) for facial expression recognition. Our DTTM is developed by introducing temporal and categorical information into Latent Dirichlet Allocation (LDA) topic model. Temporal information is integrated by placing an asymmetric Dirichlet prior over document-topic distributions. The discriminative ability is improved by a supervised term weighting scheme. We describe the resulting DTTM in detail and show how it can be applied to facial expression recognition. Experiments on CMU expression database illustrate that the proposed DTTM is very effective in facial expression recognition. © 2011 Springer-Verlag.
DescriptionLNCS v. 6938 has title: Advances in visual computing : 7th international symposium, ISVC 2011, Las Vegas, NV, USA, September 26-28, 2011 : proceedings
Persistent Identifierhttp://hdl.handle.net/10722/152013
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorShang, Len_US
dc.contributor.authorChan, KPen_US
dc.contributor.authorPan, Gen_US
dc.date.accessioned2012-06-26T06:32:26Z-
dc.date.available2012-06-26T06:32:26Z-
dc.date.issued2011en_US
dc.identifier.citationThe 7th International Symposium on Visual Computing ( ISVC 2011), Las Vegas, NV., 26-28 September 2011. In Lecture Notes in Computer Science, 2011, v. 6938 pt. 1, p. 596-606en_US
dc.identifier.isbn978-3-642-24027-0-
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10722/152013-
dc.descriptionLNCS v. 6938 has title: Advances in visual computing : 7th international symposium, ISVC 2011, Las Vegas, NV, USA, September 26-28, 2011 : proceedings-
dc.description.abstractThis paper presents a discriminative temporal topic model (DTTM) for facial expression recognition. Our DTTM is developed by introducing temporal and categorical information into Latent Dirichlet Allocation (LDA) topic model. Temporal information is integrated by placing an asymmetric Dirichlet prior over document-topic distributions. The discriminative ability is improved by a supervised term weighting scheme. We describe the resulting DTTM in detail and show how it can be applied to facial expression recognition. Experiments on CMU expression database illustrate that the proposed DTTM is very effective in facial expression recognition. © 2011 Springer-Verlag.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectDirichlet prior-
dc.subjectDiscriminative ability-
dc.subjectFacial expression recognition-
dc.subjectLatent dirichlet allocations-
dc.subjectTemporal information-
dc.titleDTTM: a discriminative temporal topic model for facial expression recognitionen_US
dc.typeConference_Paperen_US
dc.identifier.emailShang, L: h0795484@hku.hken_US
dc.identifier.emailChan, KP: kpchan@cs.hku.hk-
dc.identifier.emailPan, G: gdpan@hku.hk-
dc.identifier.authorityChan, KP=rp00092en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-3-642-24028-7_55en_US
dc.identifier.scopuseid_2-s2.0-80053360324en_US
dc.identifier.hkuros210971-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80053360324&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume6938en_US
dc.identifier.issuept. 1en_US
dc.identifier.spage596en_US
dc.identifier.epage606en_US
dc.publisher.placeGermanyen_US
dc.description.otherThe 7th International Symposium on Visual Computing ( ISVC 2011), Las Vegas, NV., 26-28 September 2011. In Lecture Notes in Computer Science, 2011, v. 6938 pt. 1, p. 596-606-
dc.identifier.scopusauthoridShang, L=55145022200en_US
dc.identifier.scopusauthoridChan, KP=7406032820en_US
dc.identifier.scopusauthoridPan, G=36844530700en_US

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