| Presentation | 2014-02-28 Non-negative matrix factorization and its applications to time series processing Hirokazu KAMEOKA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, I will give a brief introduction to a data analysis technique called non-negative matrix factorization (NMF), which has attracted a lot of attention in the field of audio signal processing in recent years. I will mention some basic properties of NMF, effects induced by the non-negative constraints, how to derive an iterative algorithm for NMF, and some attempts that have been made to apply NMF to audio processing problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Time series processing / multivariate analysis / matrix factorization / sparsity / auxiliary function method / audio signal processing |
| Paper # | SP2013-116 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2014/2/21(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Non-negative matrix factorization and its applications to time series processing |
| Sub Title (in English) | |
| Keyword(1) | Time series processing |
| Keyword(2) | multivariate analysis |
| Keyword(3) | matrix factorization |
| Keyword(4) | sparsity |
| Keyword(5) | auxiliary function method |
| Keyword(6) | audio signal processing |
| 1st Author's Name | Hirokazu KAMEOKA |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| Date | 2014-02-28 |
| Paper # | SP2013-116 |
| Volume (vol) | vol.113 |
| Number (no) | 452 |
| Page | pp.pp.- |
| #Pages | 6 |
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