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稀疏估计的扫描近似消息传递Swept Approximate Message Passing for Sparse Estimation |
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| 课程网址: | http://videolectures.net/icml2015_tramel_sparse_estimation/D |
| 主讲教师: | Eric W.Tramel |
| 开课单位: | 巴黎普通高等学校 |
| 开课时间: | 2015-09-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Approximate Message Passing (AMP) has been shown to be a superior method for inference problems, such as the recovery of signals from sets of noisy, lower-dimensionality measurements, both in terms of reconstruction accuracy and in computational efficiency. However, AMP suffers from serious convergence issues in contexts that do not exactly match its assumptions. We propose a new approach to stabilizing AMP in these contexts by applying AMP updates to individual coefficients rather than in parallel. Our results show that this change to the AMP iteration can provide theoretically expected, but hitherto unobtainable, performance for problems on which the standard AMP iteration diverges. Additionally, we find that the computational costs of this swept coefficient update scheme is not unduly burdensome, allowing it to be applied efficiently to signals of large dimensionality. |
| 关 键 词: | 重建精度; 消息传递; 收敛问题 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-14：chenjy |
| 最后编审: | 2023-05-11：chenjy |
| 阅读次数: | 60 |