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6下载：
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines,
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用高斯混合模型进行数据聚类分析的matlab 程序。,Set of files for analysis of Gaussian mixture models for data set clustering etc.
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GMM Gaussian Mixture Models in C
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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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Gaussian Mixture Models (GMM) for speech noise reduction
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利用混合高斯模型进行前景检测的源代码实现，依据的是Stauffer发表的Adapptive background mixture models for real-time tracking.-The prospects for the use of Gaussian mixture model, detection of the source code implementation, based on the Stauffer published Adapptive background mix
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GMM Model Gaussian Mixture Models - Algorithm and
Matlab Code-GMM Model!
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Player Detection Algorithm Based on Gaussian Mixture Models Background Modeling
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Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
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《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。
-This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
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用Matlab写的高斯混合模型的贝叶斯EM估计，-Variational Bayesian EM for Gaussian mixture models
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金融数据分析的一个新的程序码 可应用于数据分析 价格以及期货指数估计 还可用于 几何布朗运动的模拟-"An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, yo
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基于高斯混合模型，经由一种高效率的EM-MAP算法，解决图像超分辨率重建问题-A general framework for solving image inverse problems is introduced in this paper. The approach is
based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
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Matlab programs for gaussian mixture models
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了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP)
特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Trac
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2类分类高斯混合模型
使用k-means的方法来初始化GMM，
基于EM算法计算出GMM模型参量。
测试GMM模型分别有2个，4个，8个混合成分-2-class classifier with Gaussian Mixture Models. Use the k-means method to initialize the GMM’s
Then improve the GMM models
iteratively based on the EM algo-rithm.
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解决了带有time index高斯混合模型的状态估计问题-An estimation technique for Time Indexed Gaussian Mixture Models
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Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generaliz
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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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This collection of MATLAB files perform operations on Gaussian mixture models (GMMs) and Gaussian kernels (ie, Parzen windows). These utilities do evaluation, sampling, multiplication, convolution, linear transformation, mixture reduction, etc. Prese
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