图 书 馆
计算机视觉需要机器学习帮助的地方Where machine vision needs help from machine learning |
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| 课程网址: | http://videolectures.net/colt2011_freeman_help/ |
| 主讲教师: | William T. Freeman |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | I'll describe where computer vision needs advances from computer science and machine learning. This talk will cover where computer vision works well: finding cars and faces, operating in controlled environments, and where it doesn't work well: in the uncontrolled settings of daily life. Several aspects of the problem make it particularly appropriate for machine learning research: we have large datasets of high-dimensional data, so efficient processing is crucial for success. The data are noisy, and we search and analyze images over Internet scales. I'll list a number of computer vision problems, describe their structure, and tell where we need help. This talk was partially crowd-sourced: at recent computer vision conferences, I've asked my colleagues where they felt we needed help from computer science and machine learning, and I'll report on what they said. |
| 关 键 词: | 计算机视觉; 机器学习; 互联网 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-13：chenxin |
| 阅读次数: | 48 |