文件名称:Video_semantic
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- 上传时间：
- 2012-11-26
- 文件大小：
- 4.88mb
- 下载次数：
- 0次
- 提 供 者：
- 陈*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
本文提出了多个基于半监督学习的自动视频标注方法。通过对几种常见的半监督学习方法，如自训练、互训练以及Co一EM等方法的分析，针对它们(主要是自训练和互训练方法)在视频标注应用中的局限，在提高分类的准确性和模型更新等方面做了深入研究，提出了相应的改进措施。
-This paper presents a number of semi-supervised learning-based automatic video annotation methods. Through several common semi-supervised learning methods, such as self-training, cross training, and Co an analysis of EM and other methods for them (mainly from the training and cross-training methods) in the video annotation applications, the limitations in enhancing the classification accuracy and model updating have done a thorough study and submit a corresponding improvement measures.
-This paper presents a number of semi-supervised learning-based automatic video annotation methods. Through several common semi-supervised learning methods, such as self-training, cross training, and Co an analysis of EM and other methods for them (mainly from the training and cross-training methods) in the video annotation applications, the limitations in enhancing the classification accuracy and model updating have done a thorough study and submit a corresponding improvement measures.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
视频语义标注方法和理论的研究.nh