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一种基于肤色分割、区域分析和模板分布的彩色图像人脸检测算法.首先对输入的彩色图像利用混合高斯模型和亮度模型进行分割,然后根据人脸五官的结构特征对得到的区域进一步分析处理,获得所有可能的候选人脸.接着构造了一种基于双眼和人脸模板的概率模型并利用其对候选人脸进行最终检测.-Based on skin color segmentation, regional analysis and the template in color images of face detection algorithm. F
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使用3阶混合高斯模型进行运动目标提取并进行背景更新-Using Gaussian mixture model of order 3 moving object extraction and background update
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基于OpenCV与混合高斯建模的运动目标检测,大体介绍使用opencv库,来进行混合搞死建模运动目标检测-Gaussian mixture model based on OpenCV and moving target detection, general introduction to use opencv library to model mixed Gaosi moving target detection
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Speech Enhancement
A Bayesian Estimation Approach
Using Gaussian Mixture Model
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Multivariate Gaussian Mixture Model Optimization by Cross Entropy
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GMM高斯混合模型大规模概率对数计算
需要一个模型地址文件和一个需要识别的声音的mfc文件可以一次执行大批量-GMM Gaussian mixture model probability on the number of large-scale computing need a model of address file, and the voice of the mfc file which need to be identified .can be an implementation
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基于有限混合高斯模型的数据分类
1、使用基于有限高斯混合模型的EM算法对数据样本进行归类
2、使用C++或者Matlab语言编程环境实现该算法,并用给定的数据包对算法的正确性进行检验
-Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
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混合高斯模型做的视频跟踪系统,具有良好的跟踪效果-Gaussian mixture model to do a video tracking system, has a good tracking results
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一种用于图像超分辨率分析的混合高斯模型算法。可实现图像方法,同时保持很好的图像边缘。-For image super-resolution algorithm for Gaussian mixture model analysis. Image method can be realized while maintaining a good edge.
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GMM GMM高斯混合模型聚类
Gaussian mixture model clustering-GMM GMM Gaussian mixture model clustering
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建立了混合高斯模型,可以对静止背景下运动目标进行检测。-Gaussian mixture model is established, you can still detect moving target in the background.
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混合高斯模型的建立,用vc 实现,内容是.cpp形式,可以移植-Gaussian mixture model, with vc implementation, content. Cpp form, can be transferred
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一篇详细的介绍高斯混合模型(GMM)参数优化及实现的文档,有实例, 包括VC及matlab 实现。初始学者一看就能懂-A detailed descr iption of Gaussian mixture model (GMM) parameter optimization, and implementation documentation, including the VC and the matlab implementation
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高斯混合模型参数初始化程序,在对高斯混合模型的建立之前采用KMEANS算法进行初始化-Gaussian mixture model parameter initialization procedure, in the Gaussian mixture model is initialized before the algorithm used KMEANS
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用于背景差分的高斯混合建模,实现运动目标检测,c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
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gaussian mixture model
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SUMMARY:
The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in ap
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基于matlab的SVM(支持向量机)算法。作为非常流行的svm工具,可以实现基于SVM的数据分析,能够应用于人工智能及模式识别领域。-Matlab based on the expectation-maximization algorithm for Gaussian mixture model (GMM) toolkit. GMM-based data can be analyzed, can be used in the field of artificial intelligence a
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stauffer的经典的混合高斯模型算法描述,适合做行为检测的人使用。-stauffer the classical Gaussian mixture model algorithm descr iption, suitable for people who use behavior detection.
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This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vecto
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