分类投票
- 网络Class Voting
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最后利用镜头中所包含的所有帧的分类投票结果来决定镜头的类型;(2)为了准确的检测重放慢镜头,提出了一种基于重放Logo和镜头上下文的重放镜头检测方法。
And finally , the final shot type is voted by views contained in the shot . ( 2 ) In order to automatic detect the replay scene accurately , a replay-logo and shot context based approach is proposed .
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集成学习方法通过同时构造多个学习器,然后对各学习器的分类结果使用投票法得到分类结果。
Integrated learning method can get classification results by constructing many learners to make a vote on classification results .
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本文全面介绍了推荐系统的概念、分类,以及基于投票机制的个性化推荐系统的概念、常见的推荐技术,着重分析了Web个性化推荐系统的主要实现技术以及基于BIRT技术的图表分析技术。
The paper introduces the concepts and classification of recommender systems , the concepts of web PRSs based on voting mechanism and common recommender technologies . It gives an emphasis on main realization technologies of web PRSs and chart analysis based on BIRT technology .
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通过引入可信度函数对单分类器效果进行评价,适时采用辅助分类器对较难分类的文档进行分类投票判决。
It was to evaluate the experimental result of single classifier using the reliability function , to classify the documents that were hard to be classified by voting .
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采用分块投票策略将幅值/相位矩阵分成若干子块,对每个子块根据最近邻原则进行分类,并对各子块分类结果进行投票以实现人脸图像的最终识别。
These quaternion magnitude and phases are combined and divided into several sub-blocks , and then each sub-block is classified by a nearest neighbor classifier .