A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.
知识发现,采用SLIQ快速可伸缩算法,分类模型用判定树与产生式规则两种形式描述。
In order to shorten the training time and improve results, we have adopted a two-stage classification method.
为了缩短训练时间,提高实验结果,我们采用两阶段分类的方法。
In order to shorten the training time and improve results, we have adopted a two-stage classification method.
为了缩短训练时间,提高实验结果,我们采用两阶段分类的方法。
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