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Supervised Image Segmentation Using Markov Random Fields
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采用OpenCV进行人脸识别,隐马尔科夫链的应用,由混合分量来分割HMM的每个内在状态的所有观测值,运用现有的图像观测值分割为所有嵌入和内部的HMM函数,计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
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吉布斯分布代码,常用于马尔科夫随机场分割和识别-Gibbs distribution code, commonly used for Markov Random Field segmentation and recognition
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java ,隐马尔科夫的分词算法实现。包含10w条训练集,字典。也可以自己重新添加训练集。-java, hidden Markov segmentation algorithm. 10w of the training set contains dictionary. You can also add your own re-training set.
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基于隐马尔科夫模型的中文分词系统,上交ieee专业大一作业,界面一般,主要用于学习,在此分享,注:开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development en
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