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CRF1.2，条件随机场软件包，很好用很流行的一个文本分类软件，可以用于自然 语言的处理，标签，分类，词性发现，用户只需要着重构造特征函数既可以，实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language proc
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In this paper pseudo 3-D Hidden Markov Models
(P3DHMMs) are applied to the task of dynamic facial expression
recognition. P3DHMMs are an extension of the
pseudo 2-D case, which has been successfully used for the
classification of images and t
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MRF classification for remote sensing images
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利用过绿色作为分类方法，分成两类后，应用马尔科夫随机场进行分割。-Made use of green as the classification method, after divided into two categories, the application of Markov random segmentation.
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In this paper, we figure out the use of appended jitter and shimmer speech features for closed set text
independent speaker identification system. Jitter and shimmer features are extracted from the
fundamental frequency contour and added to basel
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