| Presentation | 2012-11-08 Path following approach for efficient reweighted l_1 minimization Yuki SHINMURA, Ichiro TAKEUCHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The problem of recovering sparse signals is an important topic in machine learning and compressed sensing literatures. Among many algorithms, so-called reweighted l_1 minimization algorithm has been shown to be more effective than conventional l_1 minimization. In this study, we introduce an optimization method called parametric programming (a.k.a. path-following) in order to develop a more efficient alternative to existing implementation of the reweighted l_1 minimization algorithm. We demonstrate the effectiveness of our approach through simple numerical experiment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | l_1 Minimization / Reweighted l_1 Minimization / Compressed Sensing / Linear Programming / Parametric Programming |
| Paper # | IBISML2012-71 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2012/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Path following approach for efficient reweighted l_1 minimization |
| Sub Title (in English) | |
| Keyword(1) | l_1 Minimization |
| Keyword(2) | Reweighted l_1 Minimization |
| Keyword(3) | Compressed Sensing |
| Keyword(4) | Linear Programming |
| Keyword(5) | Parametric Programming |
| 1st Author's Name | Yuki SHINMURA |
| 1st Author's Affiliation | Department of Engineering, Nagoya Institute of Technology() |
| 2nd Author's Name | Ichiro TAKEUCHI |
| 2nd Author's Affiliation | Department of Engineering, Nagoya Institute of Technology |
| Date | 2012-11-08 |
| Paper # | IBISML2012-71 |
| Volume (vol) | vol.112 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |