图 书 馆
面类建模的支持向量机混合Mixture of SVMs for Face Class Modeling |
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| 课程网址: | http://videolectures.net/mlmi04ch_meynet_msfcm/ |
| 主讲教师: | Julien Meynet |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a method for face detection which uses a new {SVM} structure trained in an expert manner in the eigenface space. This robust method has been introduced as a post processing step in a real-time face detection system. The principle is to train several parallel {SVMs} on subsets of some initial training set and then train a second layer {SVM} on the margins of the first layer of {SVMa}. This approach presents a number of advantages over the classical {SVM}: firstly the training time is considerably reduced and secondly the classification performance is improved, we will present some comparisions with the single {SVM} approach for the case of human face class modeling. |
| 关 键 词: | 特征空间; 支持向量机; 分类性能; 面类建模 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2024-01-19：liyy |
| 阅读次数: | 55 |