基于Gabor特征和字典学习的高斯混合稀疏表示图像识别-Image recognition based on Gabor features and dictionary learning of Gauss hybrid sparse representation

为了解决基于去噪重建过程，即解决稀疏系数原理的图像稀疏表示-In order to solve the reconstruction process based de-noising, that a solution to the sparse coefficient principle sparse representation