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关于采用嵌入式隐马尔可夫模型和神经网络的人脸识别博士论文,希望对做人脸识别论文和算法设计的人员有帮助。-on the use of embedded hidden Markov models and neural networks face recognition doctoral dissertation, want to do face recognition algorithm design papers and the staff helpful.
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In this paper, we consider the problem of filtering in relational
hidden Markov models. We present a compact representation for
such models and an associated logical particle filtering algorithm. Each
particle contains a logical formula that de
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EM算法(英文)A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture and
Hidden Markov Models-A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture a
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On Efficient Viterbi Decoding for Hidden semi-Markov Models
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在维特比算法是一种寻找隐藏的国家最有可能的序列动态规划算法-被称为维特的道路-在一个事件序列的观测结果,特别是在马氏信源的背景下,更普遍,隐马尔可夫模型。 -The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of o
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采用Baum-Welch重估计算法对隐马尔科夫模型进行训练,使得结果达到最优化-Using Baum-Welch re-estimation algorithm for training hidden Markov models, making the results of optimized
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The goal of this paper is to describe an off-line
segmentation-free Arabic handwritten words recognition
system. This system is based on a semi-continuous 1-
dimensionnal hidden Markov models (SCHMMs)
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隐马尔可夫模型(HMM)模型的源码。隐马尔可夫模型(HMM)模型的随机方法和时间序列数据。-Hidden Markov Models (HMM) are stochastic methods to model temporal and sequence data.
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marsyas是进行音频分析的源码,能识别音乐节奏、乐器等音音乐语义特征,使用隐马尔可夫模型。
-marsyas audio analysis of the source code, and can identify the rhythm of the music, musical instruments and other audio and music semantic features using Hidden Markov Models.
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用小波域隐马尔科夫树模型进行图像降噪的matlab软件,rice大学编制,Software For Image Denoising Using Wavelet-Domain Hidden Markov Tree Models
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Hidden Markov Models in C#-Introduction
Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of HMMs was speech recognition,
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不动点方程法,解决隐马尔科夫过程的熵率计算问题,二元对称信道-Fixed point equation method to solve the entropy rate of the Hidden Markov Models computational problems, binary symmetric channel
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One of the most recent hidden Markov models
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One of the most recent hidden Markov models
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One of the most recent hidden Markov models
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One of the most recent hidden Markov models()
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Hidden Markov processs
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One of the most recent hidden Markov models()
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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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