图 书 馆
新颖性检测的核学习Kernel Learning for Novelty Detection |
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| 课程网址: | http://videolectures.net/lkasok08_taylor_klfnd/ |
| 主讲教师: | John Shawe-Taylor |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2008-12-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We consider kernel learning for one-class Support Vector Machines. We consider a mix of 2- and 1-norms of the individual weight vector norms allowing control of the sparsity of the resulting kernel combination. The resulting optimisation can be solved efficiently using a coordinate gradient method. We consider an application to automatically detecting the appropriate metric for a guided image search task. |
| 关 键 词: | 向量机; 内核学习; 权重向量 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-14：lxf |
| 阅读次数: | 39 |