| Presentation | 2015-01-29 Machine Learning Techniques for Capturing the Essence Hidden in Data Hiroshi SAWADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Data analysis / Machine learning / Matrix / Tensor / Non-negative Matrix Factorization (NMF) / Sparseness |
| Paper # | ICD2014-113 |
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| Conference Information | |
| Committee | ICD |
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| Conference Date | 2015/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Integrated Circuits and Devices (ICD) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine Learning Techniques for Capturing the Essence Hidden in Data |
| Sub Title (in English) | |
| Keyword(1) | Data analysis |
| Keyword(2) | Machine learning |
| Keyword(3) | Matrix |
| Keyword(4) | Tensor |
| Keyword(5) | Non-negative Matrix Factorization (NMF) |
| Keyword(6) | Sparseness |
| 1st Author's Name | Hiroshi SAWADA |
| 1st Author's Affiliation | NTT Service Evolution Laboratories, NTT Corporation:Machine Learning and Data Science Center, NTT Corporation() |
| Date | 2015-01-29 |
| Paper # | ICD2014-113 |
| Volume (vol) | vol.114 |
| Number (no) | 436 |
| Page | pp.pp.- |
| #Pages | 19 |
| Date of Issue | |