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Conference Paper: DTTM: a discriminative temporal topic model for facial expression recognition
| Title | DTTM: a discriminative temporal topic model for facial expression recognition |
|---|---|
| Authors | |
| Keywords | Dirichlet prior Discriminative ability Facial expression recognition Latent dirichlet allocations Temporal information |
| Issue Date | 2011 |
| Publisher | Springer 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? |
| Abstract | This 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. |
| Description | LNCS v. 6938 has title: Advances in visual computing : 7th international symposium, ISVC 2011, Las Vegas, NV, USA, September 26-28, 2011 : proceedings |
| Persistent Identifier | http://hdl.handle.net/10722/152013 |
| ISBN | |
| ISSN | 2023 SCImago Journal Rankings: 0.606 |
| References |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shang, L | en_US |
| dc.contributor.author | Chan, KP | en_US |
| dc.contributor.author | Pan, G | en_US |
| dc.date.accessioned | 2012-06-26T06:32:26Z | - |
| dc.date.available | 2012-06-26T06:32:26Z | - |
| dc.date.issued | 2011 | en_US |
| dc.identifier.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 | en_US |
| dc.identifier.isbn | 978-3-642-24027-0 | - |
| dc.identifier.issn | 0302-9743 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/152013 | - |
| dc.description | LNCS v. 6938 has title: Advances in visual computing : 7th international symposium, ISVC 2011, Las Vegas, NV, USA, September 26-28, 2011 : proceedings | - |
| dc.description.abstract | This 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.language | eng | en_US |
| dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_US |
| dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
| dc.rights | The original publication is available at www.springerlink.com | - |
| dc.subject | Dirichlet prior | - |
| dc.subject | Discriminative ability | - |
| dc.subject | Facial expression recognition | - |
| dc.subject | Latent dirichlet allocations | - |
| dc.subject | Temporal information | - |
| dc.title | DTTM: a discriminative temporal topic model for facial expression recognition | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Shang, L: h0795484@hku.hk | en_US |
| dc.identifier.email | Chan, KP: kpchan@cs.hku.hk | - |
| dc.identifier.email | Pan, G: gdpan@hku.hk | - |
| dc.identifier.authority | Chan, KP=rp00092 | en_US |
| dc.description.nature | link_to_subscribed_fulltext | en_US |
| dc.identifier.doi | 10.1007/978-3-642-24028-7_55 | en_US |
| dc.identifier.scopus | eid_2-s2.0-80053360324 | en_US |
| dc.identifier.hkuros | 210971 | - |
| dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-80053360324&selection=ref&src=s&origin=recordpage | en_US |
| dc.identifier.volume | 6938 | en_US |
| dc.identifier.issue | pt. 1 | en_US |
| dc.identifier.spage | 596 | en_US |
| dc.identifier.epage | 606 | en_US |
| dc.publisher.place | Germany | en_US |
| dc.description.other | 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 | - |
| dc.identifier.scopusauthorid | Shang, L=55145022200 | en_US |
| dc.identifier.scopusauthorid | Chan, KP=7406032820 | en_US |
| dc.identifier.scopusauthorid | Pan, G=36844530700 | en_US |
| dc.identifier.issnl | 0302-9743 | - |