| Presentation | 2006-03-16 Basics of Sparse Coding and Its Application to Image Processing 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 an algorithm for modeling primitive visual processing in biological systems, and it provides a method of constructing proper basis functions based on statistical and information theoretic criteria. Images are effectively reconstructed as a linear combination of a small number of bases which are chosen from the basis functions trained by the algorithm. In this manuscript, we introduce the idea of sparse coding by considering how images can be compressed when images are decomposed by a linear combination of bases and represented by their coefficients. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | PRMU2005-256 |
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| Committee | PRMU |
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| Conference Date | 2006/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Basics of Sparse Coding and Its Application to Image Processing |
| Sub Title (in English) | |
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| 1st Author's Name | Noboru Murata |
| 1st Author's Affiliation | School of Science and Engineering, Waseda University() |
| Date | 2006-03-16 |
| Paper # | PRMU2005-256 |
| Volume (vol) | vol.105 |
| Number (no) | 673 |
| Page | pp.pp.- |
| #Pages | 8 |
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