Description: 减背景算法，基于背景建模的方法获取前景目标，采用高斯混合模型-By the background algorithm, based on background modeling method to get the prospect of goals, the use of Gaussian mixture model Platform: |
Size: 1732608 |
Author:曾慕柳 |
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Description: 混合高斯模型是一种比高斯模型更好的背景建模方法-Gaussian mixture model is a better model than the Gaussian background modeling method Platform: |
Size: 3287040 |
Author:杨永刚 |
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Description: gmmTrain: Parameter training for gaussian mixture model (GMM) -gmmTrain: Parameter training for gaussian mixture model (GMM) Platform: |
Size: 2048 |
Author:鲁剑锋 |
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Description: 这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。-This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you. Platform: |
Size: 251904 |
Author: kellan |
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Description: 混合高斯模型，用于背景建模的程序，使用时请安装OPENCV-Gaussian mixture model for background modeling procedure, the use of when you install OPENCV Platform: |
Size: 5120 |
Author:肖郎 |
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Description: 交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用-Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of Platform: |
Size: 305152 |
Author:黄路遥 |
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Description: 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approximate arbitrary smooth shape of the density distribution, so it is often used in speech and speaker recognition in recent years. Platform: |
Size: 63488 |
Author:杨清山 |
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Description: 这个文件包里包含了几乎所有的聚类的工具箱，包含采用混合高斯模型的运动物体检测方面的源代码。-This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code. Platform: |
Size: 124928 |
Author:齐欣 |
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Description: 使用高斯混合模型（GMM)模拟模式识别的源代码-The use of Gaussian mixture model (GMM) Analog Pattern Recognition of the source code Platform: |
Size: 1024 |
Author:qjc |
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Description: very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification- A Comparative Study document Platform: |
Size: 287744 |
Author:B |
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Description: 混合高斯模型，建立背景模型，从而可以分离前景与背景-Gaussian mixture model, background model, which can be separated from foreground and background Platform: |
Size: 3786752 |
Author:jiangkaihua |
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Description: 高斯混合模型是單一高斯機率密度函數的延伸，由於GMM 能夠平滑地近似任意形狀的密度分佈，因此近年來常被用在語音與語者辨識，得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is often used in recent years in speech and speaker recognition, get good results. Platform: |
Size: 195584 |
Author:geyu |
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Description: Source code - create Gaussian Mixture Model in following steps:
1, K-means
2, Expectation-Maxximization
3, GMM
Notice: All datapoints are generated randomly and you can config in Config.h-Source code- create Gaussian Mixture Model in following steps:
1, K-means
2, Expectation-Maxximization
3, GMM
Notice: All datapoints are generated randomly and you can config in Config.h Platform: |
Size: 6144 |
Author:ChipChipKnight |
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Search - gaussian Mixture