A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.

最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。

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On the basis of subspace classifier the concept of subspace is developed and a new concept called dual subspace and corresponding algorithm of classification are presented in this paper.

本文在子空间分类器的基础上，对子空间的概念进行了扩展，提出了对偶子空间的概念和相应的分类算法。

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A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.

提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。

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