图 书 馆
结构化稀疏学习Learning with Structured Sparsity |
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| 课程网址: | http://videolectures.net/icml09_huang_lwss/ |
| 主讲教师: | Junzhou Huang |
| 开课单位: | 新泽西州立大学 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper investigates a new learning formulation called structured sparsity, which is a natural extension of the standard sparsity concept in statistical learning and compressive sensing. By allowing arbitrary structures on the feature set,this concept generalizes the group sparsity idea. A general theory is developed for learning with structured sparsity, based on the notion of coding complexity associated with the structure. Moreover, a structured greedy algorithm is proposed to efficiently solve the structured sparsity problem. Experiments demonstrate the advantage of structured sparsity over standard sparsity. |
| 关 键 词: | 学习公式; 稀疏性学习; 压缩感知 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-19：chenjy |
| 最后编审: | 2023-05-11：chenjy |
| 阅读次数: | 56 |