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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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发表于ECCV上的一篇用于人脸识别的算法，Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary -At ECCV on an algorithm for face recognition, Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dic
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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采用稀疏表示能够实现N类M个人脸的正常识别-Using sparse representation can be achieved Class N M individual normal face recognition
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用matlab实现的基于稀疏表示的人脸识别方法。其中解稀疏表示时，包含了各种方法。-Using matlab face recognition method based on sparse representation. Solution of the sparse representation, contains a variety of methods.
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稀疏表示在鲁棒性人脸识别中的应用，很经典的论文-Sparse representation in the robustness of face recognition, very classic papers
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稀疏表示在人脸识别中的应用（最新版），很经典论文-Sparse representation in face recognition (latest edition), classic papers
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稀疏表示分类算法在ORL人脸库上的实验，参考文章：
Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227.
-Sparse representation classification algo
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一种局部敏感的核稀疏表示分类算法_张石清_赵小明_楼宋江_闯跃龙_郭文平_陈盈
一种融合多模式韦伯局部特征的人脸识别方法_李昆明
自适应阈值及加权局部二值模式的人脸识别_张洁玉-A topical sensitive nuclear sparse representation classification algorithm _ _ House Song Jiang Zhao Xiaoming Zhang Shiqing _ _ _ Chuang Chen Ying Guo Wenpin
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基于线性最优化的人脸识别，基于稀疏表示的人脸识别，有中文注解。-Based on linear optimization recognition, face recognition based on sparse representation, have Chinese notes.
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robust PCA的应用实例 很有代表性的方法-this paper proposed a approach of robust
face recognition by exploiting the sparse error component obtained by RPCA.
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稀疏表示经典著作
John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序-# impFaceRecognition
A Matlab implementation of Face Recognition using Sparse Representation the original paper:
John Wright et al, Robust F
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稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications
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