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本程序实现了用pca以及贝叶斯,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with pca and the bayesian, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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本程序实现了用贝叶斯,svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with bayesian, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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用2DPCA提取人脸特征，然后用支持向量机分类识别。效果不错。-With 2 DPCA face feature extraction, and then by support vector machines (SVM) classification and recognition. The result is right.
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this paper gives a brief discr iption of different methodology for face detection and facial expresssion recognition.for face detection Exhaustive search,Branch and Bound,Viola-Jones methods can be used. for expression recognition gabor filter, discr
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MULTICLASS SVM FOR FACE EXPRESSION RECOGNITION
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人脸表情识别matlab程序PCA+SVM算法，SVM分类-orL人脸数据库有数据有图片-Facial expression recognition matlab program PCA+SVM algorithm, SVM classification-orL face
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
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采用surf特征点， svm线性分类器 实现的人脸活体检测源码(face_antispoofing: this code takes surf feature to detect spoofing face in recognition.)
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