图 书 馆
计算机视觉的机器学习与核方法Machine learning and kernel methods for computer vision |
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| 课程网址: | http://videolectures.net/etvc08_bach_mlakm/ |
| 主讲教师: | Francis R. Bach |
| 开课单位: | INRIA研究机构 |
| 开课时间: | 2008-12-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Kernel methods are a new theoretical and algorithmic framework for machine learning. By representing data through well defined dot-products, referred to as kernels, they allow to use classical linear supervised machine learning algorithms to non linear settings and to non vectorial data. A major issue when applying these methods to image processing or computer vision is the choice of the kernel. I will present recent advances in the design of kernels for images that take into account the natural structure of images. |
| 关 键 词: | 机器学习; 核方法; 计算机科学; 计算机视觉 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-29：yumf |
| 阅读次数: | 35 |