| Presentation | 2012-11-08 Ancestral Atom Learning for Dictionary Generation in Sparse Coding Toshimitsu ARITAKE, Hideitsu HINO, Noboru MURATA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Sparse Coding is a methodology to represent signals with combinations of only a small number of basis vectors. In sparse coding, designing dictionary is a fundamental problem. An approach for desigining dictionary which adapts observed signals is learning from observed signals. In this paper, like wavelet analysis, a dictionary for sparse signal representation is assumed to be generated from single vector called ancestral atom, and a method for learning the ancestral atom is proposed. Experimental results of ancestral atom learning by proposed method with both artificial and real-world seismic signal are shown to exhibit characteristics and advantages of the proposed algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | atom decomposition / sparse representation / structured dictionary learning |
| Paper # | IBISML2012-82 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2012/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Ancestral Atom Learning for Dictionary Generation in Sparse Coding |
| Sub Title (in English) | |
| Keyword(1) | atom decomposition |
| Keyword(2) | sparse representation |
| Keyword(3) | structured dictionary learning |
| 1st Author's Name | Toshimitsu ARITAKE |
| 1st Author's Affiliation | Waseda University() |
| 2nd Author's Name | Hideitsu HINO |
| 2nd Author's Affiliation | Waseda University |
| 3rd Author's Name | Noboru MURATA |
| 3rd Author's Affiliation | Waseda University |
| Date | 2012-11-08 |
| Paper # | IBISML2012-82 |
| Volume (vol) | vol.112 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |