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《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论,以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等,同时结合模式识别中的一些问题,比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容,从多种角度,介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition
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On Efficient Viterbi Decoding for Hidden semi-Markov Models
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Hidden Markov Model (HMM) Toolbox written by Kevin Murphy
A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the
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本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等-This book describes the pattern recognition and artificial intelligence in some of the basic theory and some related models, including Bayesian decision-making, linear discriminant f
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Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
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隐马尔科夫模型工具箱,readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
dhmm = HMM with discrete output
mhmm = HMM with mixture of G
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SHIRO is a set of tools based on HSMM (Hidden Semi-Markov Model), for aligning phoneme transcr iption with speech recordings, as well as training phoneme-to-speech alignment models.
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