图 书 馆
学习用于复杂对象分类的非冗余码本Learning Non-Redundant Codebooks for Classifying Complex Objects |
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| 课程网址: | http://videolectures.net/icml09_zhang_lnrccco/ |
| 主讲教师: | Wei Zhang |
| 开课单位: | 惠普公司 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single codebook via clustering that maps a bag of low-level features into a fixed-length histogram that describes the distribution of these features. This paper describes a simple yet effective framework for learning multiple non-redundant codebooks that produces surprisingly good results. In this framework, each codebook is learned in sequence to extract discriminative information that was not captured by preceding codebooks and their corresponding classifiers. We apply this framework to two application domains: visual object categorization and document classification. Experiments on large classification tasks show substantial improvements in performance compared to a single codebook or codebooks learned in a bagging style. |
| 关 键 词: | 可视对象分类; 文档分类; 套袋方式 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-17：chenxin |
| 阅读次数: | 31 |