To enhance the accuracy of image classification, proposed hybrid multiple classifier combination method from abstract level and measurement level.
为了提高遥感影像分类精度，从抽象级和测量级的两个层次出发，提出混合多分类器结合算法。
The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system.
在车牌字符识别中引入了误识模型和多分类器集成技术。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
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