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Description: 这个源码提供了如何利用高斯混合模型去做影像辨识的模型分类-the source how to use a Gaussian mixture model to do imaging Identification Classification Model
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Size: 15360 |
Author: 小王 |
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Description: 从wave中读取数据，通过mfcc提取特征系数。从txt文件中读取基于GMM的分类器，最终识别为那种类型-Read data from the wave through the MFCC feature extraction coefficient. Txt file to read from the GMM-based classifier, and ultimately identified as the type
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Size: 4096 |
Author: gujunjun |
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Description: GMM模型和贝叶斯分类器 用于视频图像的处理-GMM model and the Bayesian classifier for video image processing
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Size: 1024 |
Author: isee |
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Description: 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.
Investigate and report results for GMM s which have 2, 4, 8 mixture components respectively.
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Size: 3072 |
Author: 王沛霖 |
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Description: 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox
Methods:
Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
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Size: 6036480 |
Author: lee |
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Description: 采用GMM模型并用EM算法训练分类器，用Train.txt里的数据进行训练，用Test.txt的数据进行性能检测-Using GMM classifier model and EM training algorithm to train the classifier, use the training data in Train.txt to train the classifier and use the data in the Test.txt to test the performance of the classifier
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Size: 27648 |
Author: 王国坤 |
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Description: 利用混合高斯模型对背景图像进行建模，所谓“混合高斯”的意思就是每个像素都是由多个单高斯分布混合组成的。-Name of the file which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA s nvbin are supported for HAAR and only new type of OpenCV XML cascade supported for LBP. The working haar models can be found at opencv_folder/data/haarcascades_cuda/
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Size: 40960 |
Author: ZHUXIAOFANG |
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Description: 使用holcon基于高斯混合模型对网格的异常检测-This example program shows you how to use the GMM classifier for novelty
detection to perform a web inspection task. To perform the novelty detection,
* all pixels belonging to the single trained class are computed, and are then
subtracted the classification ROI to extract the erroneous pixels. For
the web inspection task, the GMM can consequently be used to detect
textures that do not correspond to the texture of the trained good objects.
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Size: 3072 |
Author: ZhangCJ |
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Description: 在holcon使用高斯混合模型的查阅表对颜色进行分类-In this example five different color fuses are segmented with
a look-up table classifier (LUT) based on a Gaussian Mixture
Model (GMM).
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Size: 2048 |
Author: ZhangCJ |
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Description: A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features.)
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Size: 487424 |
Author: vidi
|
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Description: 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle transform for human head recognition + target tracking algorithm based on regional characteristics.)
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Size: 2048 |
Author: 神万心 |
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