In chapter 3, the method of multi classifier combination based on different pattern features is studied.
第三章，研究了基于不同模式特征的多分类器联合方法问题。
A method of speaker recognition based on sub-band processing and multi-classifier combination is presented.
提出了一种基于子带处理多分类器融合的说话人识别方法。
The objective of multi-classifier combination is to make use of each classifier"s good qualities in recognition performance and gains higher recognition rate than each classifier."
多分类器组合的目的是希望能够充分发挥每个分类器在各自分类性能上的长处，以获得比任何单独分类器都要高的识别率。
As a common method, Multi-classifier combination falls across challenges no matter that in series or in parallel, or even be mixture of both.
组合分类方法是行人检测中常用的方法，但是无论是串联还是并联的方法，甚至串联和并联相结合的方法，都在行人检测中遇到了挑战。
As a common method, Multi-classifier combination falls across challenges no matter that in series or in parallel, or even be mixture of both.
组合分类方法是行人检测中常用的方法，但是无论是串联还是并联的方法，甚至串联和并联相结合的方法，都在行人检测中遇到了挑战。
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