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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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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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基于时空域稀疏性表征的人的行为识别和理解的算法研究的论文，采用了非监督学习的方法，具有很*价值。-When the airspace based on sparse representation of human behavior recognition and understanding of the algorithm research paper, using non-supervised learning method, has great reference value.
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人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
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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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My collection of books and lectures on pattern recognition and sparse representation.
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物联网环境下车牌识别的稀疏表示及其应用研究-Sparse representation of the license plate recognition under the environment of the Internet of Things and its application
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车牌识别说明，有关物联网的车牌识别问题解析说明-Sparse representation of the license plate recognition under the environment of the Internet of Things and its application
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这是一个用于基于稀疏表示的人脸识别图形库-This is a face recognition based on sparse representation graphics library
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基于稀疏表示来实现图像的目标识别的几种算法-Image based on sparse representation to achieve the objectives identified several algorithms
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介绍几种算法来确定稀疏表示的稀疏系数的求解方法-Introduce several algorithms to determine the sparse representation method for solving sparse coefficient
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两阶段测试样本稀疏表示方法具有识别率高的特点，有助于准确分类测试样本，但稀疏方法迭代时间长，效率较低，因此仍需要与其他方法进行结合-Two-stage test sample sparse representation method has high recognition rate, helps to accurately classify the test samples, but sparse iterative approach for a long time, less efficie
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1_On the Dimensionality Reduction for Sparse Representation based
Face Recognition
2_Fingerprint Pore Matching based on Sparse Representation
3_Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and
Non-MA Dictionary
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稀疏表示，最小化l1范数求解表示系数的函数-sparse representation,minimum
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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
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Sparse representation, greedy algrithm
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可以实现基于粒子滤波器和稀疏表示的目标识别，代码亲测可行-You can achieve target recognition based on particle filter and sparse representation of the code pro-test feasible
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Fisher线性判别分析和稀疏表示结合的人脸识别程序-Face recognition based on Fihser discriminant and Sparse representation
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用于脸部识别时，使用基于像素和区域的图像特征核的稀疏表示的识别算法。-When used in face recognition using image recognition algorithm based on feature pixel and regional nuclear sparse representation.
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Lei Zhang, Meng Yang, and Xiangchu Feng,
Sparse Representation or Collaborative Representation: Which Helps Face Recognition? in ICCV 2011 源代码-Lei Zhang, Meng Yang, and Xiangchu Feng,
Sparse Representation or Collaborative Representation: Whic
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