The classifier fusion approaches include Maximum, Minimum, Product, Mean, Median, Major Voting fusion methods and decision template fusion methods.
对分类器融合采用极大值法、极小值法、乘积法、均值法、中值法、投票法和各种决策模板融合方法。
We focus on energy detection for spectrum sensing and find the optimal fusion rule which is the half-voting rule.
在频谱感知中，我们使用能量检测的方法，发现半投票准则是最优的融合准则。
According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.
分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。
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