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Convolutional-neural-network-based classifier and classifying method and training methods for the same
Convolutional-neural-network-based classifier and classifying method and training methods for the same
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机译:基于卷积神经网络的分类器及其分类方法和训练方法
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摘要
The present invention relates to a convolutional-neural-network-based classifier, a classifying method by using a convolutional-neural-network-based classifier and a method for training the convolutional-neural-network-based classifier. The convolutional-neural-network-based classifier comprises: a plurality of feature map layers, at least one feature map in at least one of the plurality of feature map layers being divided into a plurality of regions; and a plurality of convolutional templates corresponding to the plurality of regions respectively, each of the convolutional templates being used for obtaining a response value of a neuron in the corresponding region.
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