搜索：MIXTURE
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VC书籍
Each exploration in this book is a mixture of text and interactive exercises. The exercises are unl
Each exploration in this book is a mixture of text and interactive exercises. The exercises are
unlike anything you鈥檝e seen in other books. Instead of multiple choice, fill-in-the-blank, or
simple Q&A exercises, lessons are interactive explorations of key C++ features.
https://www.eeworm.com/dl/650/139297.html
人工智能/神经网络
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in patt
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
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其他
Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions
Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions instead of Gaussian. The images do not need to be aligned.
https://www.eeworm.com/dl/665/289145.html
matlab例程
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
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matlab例程
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iteratio ...
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行业发展研究
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Class
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document
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matlab例程
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
https://www.eeworm.com/dl/932779.html
技术资料
Driver face tracking using Gaussian mixture model(GMM)
·Driver face tracking using Gaussian mixture model(GMM)
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技术资料
期刊论文：Hyperspectral Small Target Detection by Combining Kernel PCA
·期刊论文：Hyperspectral Small Target Detection by Combining Kernel PCA with Linear Mixture Model
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驱动编程
EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaus
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