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基于隐马尔可夫模型的音频自动分类
DL : 0
基于隐马尔可夫模型的音频自动分类-based on Hidden Markov Models audio automatic classification
Date
: 2008-10-13
Size
: 121.68kb
User
:
none
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基于隐马尔可夫模型的音频自动分类
DL : 0
基于隐马尔可夫模型的音频自动分类-based on Hidden Markov Models audio automatic classification
Date
: 2025-12-27
Size
: 121kb
User
:
[
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1111
DL : 0
主题蜘蛛的设计与实现 摘要: 针对多媒体资源在网上的分布特点,采用链接类型过滤、网页内容过滤、链接内容过滤三层过滤和临时页面存储、目标页面存储、中间链接存储、更新存储四层存储机制,设计并实现了一个对包含多媒体资源(音频、视频和Flash 动画) 的网页进行搜集的主题蜘蛛. 实验结果显示,该主题蜘蛛能有效提高查准率.-The theme of Spider Design and Implementation of Abstract: In view of multimedia resources in the online distribution of characteristics, the use of link types of filter, web content filtering, content filtering, three-link filter and temporary page storage, the target page storage, the link between storage and update stored four storage mechanism, designed and implemented that contains a multimedia resources (audio, video and Flash animation) web pages to collect the subject of spiders. The experimental results revealed that the theme of spiders can effectively improve precision.
Date
: 2025-12-27
Size
: 224kb
User
:
梁军
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