| Presentation | 2015-06-23 Multiple Latent Space GTM for Visualization of Tensorial Data Kazushi Higa, Tetsuo Furukawa, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The generative topographic map (GTM) is a continuous latent space model, which enables to visualize a high-dimensional dataset by mapping to a low-dimensional latent space. The aim of this work is extending GTM for multiple latent space (MLS) model so that it deals with tensorial datasets. This extension, namely MLS-GTM, is able to estimate $m$-set of latent variables from $m$-mode tensorial data. As the result, the relation of the observed objects representing in the $m$-th mode emerges in the $m$-th latent space of MLS-GTM. Here we introduce the algorithm of MLS-GTM as well as an interactive visualization tool. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Latent Sapce model / Generative Topographic Mapping / Tensorial data analysis / Data visualization |
| Paper # | IBISML2015-6 |
| Date of Issue | 2015-06-16 (IBISML) |
| Conference Information | |
| Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
|---|---|
| Conference Date | 2015/6/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Toshimichi Saito(Hosei Univ.) / Masakazu Sekijima(東工大) / Takashi Washio(Osaka Univ.) / Hayaru Shouno(電通大) |
| Vice Chair | Shigeo Sato(Tohoku Univ.) / / Kenji Fukumizu(ISM) / Masashi Sugiyama(Tokyo Inst. of Tech.) |
| Secretary | Shigeo Sato(Kyushu Inst. of Tech.) / (Kyoto Sangyo Univ.) / Kenji Fukumizu(京大) / Masashi Sugiyama(お茶の水女子大) / (OIST) |
| Assistant | Hiroyuki Kanbara(Tokyo Inst. of Tech.) / Hisanao Akima(Tohoku Univ.) / / Koji Tsuda(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multiple Latent Space GTM for Visualization of Tensorial Data |
| Sub Title (in English) | |
| Keyword(1) | Latent Sapce model |
| Keyword(2) | Generative Topographic Mapping |
| Keyword(3) | Tensorial data analysis |
| Keyword(4) | Data visualization |
| 1st Author's Name | Kazushi Higa |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 2nd Author's Name | Tetsuo Furukawa |
| 2nd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2015-06-23 |
| Paper # | IBISML2015-6 |
| Volume (vol) | vol.115 |
| Number (no) | IBISML-112 |
| Page | pp.pp.33-38(IBISML), |
| #Pages | 6 |
| Date of Issue | 2015-06-16 (IBISML) |