| Presentation | 2014-10-17 Unsupervised learning from facial expression by Latent Dirichlet Allocation:Discover the hidden topics from a face Prarinya SIRITANAWAN, Tu Bao HO, Kazunori KOTANI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Given a set of unlabeled data, it is desired to retrieve the significant information hidden in the messy data. In this research, we utilize the Latent Dirichlet Allocation algorithm to discover the hidden topic from the set of unlabeled facial expression images. Traditionally, the learning of facial expression is supervised by a well-labeled dataset. The features are separated into six emotions according to the psychological research. However, there is a lot of hidden information in our facial expression which does not follow those rules. Therefore, the question arises of how many possible facial expressions human can express. In this research, we retrieve the latent topics to explore the characteristic of the complex facial expression. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | topic modelling / facial expression / Latent Dirichlet Allocation / clustering |
| Paper # | BioX2014-37 |
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| Committee | BioX |
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| Conference Date | 2014/10/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Biometrics (BioX) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Unsupervised learning from facial expression by Latent Dirichlet Allocation:Discover the hidden topics from a face |
| Sub Title (in English) | |
| Keyword(1) | topic modelling |
| Keyword(2) | facial expression |
| Keyword(3) | Latent Dirichlet Allocation |
| Keyword(4) | clustering |
| 1st Author's Name | Prarinya SIRITANAWAN |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology() |
| 2nd Author's Name | Tu Bao HO |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology |
| 3rd Author's Name | Kazunori KOTANI |
| 3rd Author's Affiliation | Japan Advanced Institute of Science and Technology |
| Date | 2014-10-17 |
| Paper # | BioX2014-37 |
| Volume (vol) | vol.114 |
| Number (no) | 251 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |