搜索资源列表
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Sparse Representation or Collaborative Representation: Which Helps Face Recognition? This code devotes to analyze the working mechanism of SRC, and indicates that it is the CR but not the l1-norm sparsity that makes SRC powerful for face classificati
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该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
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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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强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as
a sparse linear combination of the trai
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判别稀疏非负矩阵分解，提出这个新算法，来进行人脸识别，比传统的NMF和一些其他的扩展算法效果好-Sparse non-negative matrix factorization judge proposed the new algorithm for face recognition, than the traditional extension of NMF algorithm and some other good results
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此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
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Sparse Representation or Collaborative Representation Which Helps Face Recognition
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稀疏表示和协同编码哪个对人脸识别起到了决定作用。在稀疏表示的人脸识别中，到底是因为稀疏表示的作用还是他们之间的协同编码起了作用。-Sparse Representation or Collaborative Representation: Which Helps Face Recognition ICCV2011
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illumination-robust face recognition via sparse representation
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文獻「Robust Sparse Coding for Face Recognition」
及matlab代碼-「Robust Sparse Coding for Face Recognition」 and matlab source code.
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稀疏表示人脸分类与识别，Mayi人脸分类识别框架，识别率非常高-sparse represention for 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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本matlab程序适用于论文Robust Sparse Coding for Face Recognition
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基于matlab 的稀疏表示人脸识别源代码-Said face recognition matlab source code based on sparse
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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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稀疏表示用于人脸识别，采用SDR方法，文字发表在IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE顶级期刊，影响因子4.75.-Sparse representation for face recognition, the use of the SDR method, text published in the IEEE Transactions on pattern analysis and machine intell
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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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sparse face recognition
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