| Presentation | 2017-11-24 An attempt of continuous latent variable model by non-negative kernel smoother Hideaki Ishibashi, Tohru Iwasaki, Ryuji Watanabe, Tetsuo Furukawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent variables from high dimensional data, and estimates the manifold in which the data distribute. The purpose of this research is to establish a theory and algorithms of continuous latent variable model in the probabilistic model space. In this study, we employ the Gaussianness of the latent variable posteriors as the indicator of the smoothness of the manifold. As a result, the theory of probabilistic kernel smoothing by non-negative kernel could be derived. In this paper, we introduce the idea and the theory we have constructed, and report on the algorithms under development. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | kernel smoothing / latent variable model / dimensionality reduction / manifold learning / probabilistic model space / information geometry |
| Paper # | NC2017-32 |
| Date of Issue | 2017-11-17 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2017/11/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | BCI/BMI, generall |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An attempt of continuous latent variable model by non-negative kernel smoother |
| Sub Title (in English) | |
| Keyword(1) | kernel smoothing |
| Keyword(2) | latent variable model |
| Keyword(3) | dimensionality reduction |
| Keyword(4) | manifold learning |
| Keyword(5) | probabilistic model space |
| Keyword(6) | information geometry |
| 1st Author's Name | Hideaki Ishibashi |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 2nd Author's Name | Tohru Iwasaki |
| 2nd Author's Affiliation | Calaculu Inc.(Calaculu) |
| 3rd Author's Name | Ryuji Watanabe |
| 3rd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 4th Author's Name | Tetsuo Furukawa |
| 4th Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2017-11-24 |
| Paper # | NC2017-32 |
| Volume (vol) | vol.117 |
| Number (no) | NC-325 |
| Page | pp.pp.29-34(NC), |
| #Pages | 6 |
| Date of Issue | 2017-11-17 (NC) |