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本程序适用于论文Robust Sparse Coding for Face Recognition-this code is for Robust Sparse Coding for Face Recognition
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Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification
and has been widely used in many applications, such as video monitor system, human-comp
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最小均方误差等算法的MSE的计算,Gabor小波变换与PCA的人脸识别代码，基于SVPWM的三电平逆变的matlab仿真。- Minimum mean square error MSE calculation algorithm, Gabor wavelet transform and PCA face recognition code, Based on SVPWM three-level inverter matlab simulation.
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Gabor小波变换与PCA的人脸识别代码，针对EMD方法的不足,是学习PCA特征提取的很好的学习资料。- Gabor wavelet transform and PCA face recognition code, For lack of EMD, Is a good learning materials to learn PCA feature extraction.
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用于人脸识别的代码已经通过测试,识别效果非常好,有兴趣可以-Code has passed the test for face recognition, recognition effect is very good, interested can try
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可以广泛的应用于数据预测及数据分析,Gabor小波变换与PCA的人脸识别代码，保证准确无误，是学习通信的好帮手。- Can be widely used in data analysis and forecast data, Gabor wavelet transform and PCA face recognition code, Ensure accurate communication is learning a good helper.
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供做算法研究人员参考，Gabor小波变换与PCA的人脸识别代码，表示出两帧图像间各个像素点的相对情况。- Algorithm for researchers to do reference, Gabor wavelet transform and PCA face recognition code, Between two images showing the relative circumstances of each pixel.
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针对文章《基于张量奇异值分解的人脸识别方法》的代码(Face recognition code based on tensor singular value decomposition)
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