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2下载：
基于稀疏表示的人脸识别的简单程序
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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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需要利用有序链表来实现一元稀疏多项式的表示及加法运算的简单计算程序，其基本功能有：
（1）输入并建立两个多项式；
（2）多项式f1(x)与f2(x)相加，建立和多项式f3(x)；
（3）输出多项式f1(x),f2(x),f3(x)。-Need to use ordered lists to implement a dollar sparse representation of polynomials of simple addition operations and calculat
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基于稀疏表示的人脸识别，里面有9种求1范数的方法-Face recognition based on sparse representation, there are nine kinds of seeking a method of norm
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图像超分辨率重构
Image Super-Resolution as Sparse Representation of Raw Image Patches-Image Super-Resolution as Sparse Representation of Raw Image Patches
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该工具箱为KSVD算法的实现，其用来自适应地对信号就行稀疏表示，达到良好的稀疏性-The toolbox is KSVD algorithm, it is used to adaptively sparse representation of the signal on the line to achieve a good sparse
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一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构-Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image
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KSVD原始算法：信号稀疏表示中的过完备字典的学习算法-KSVD original algorithm: Signal Sparse Representation of the learning algorithm over-complete dictionary
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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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we present the first 3D discrete curvelet transform. This transform is an extension to the 2D
transform described in Cand`es et al..1 The resulting curvelet frame preserves the important properties, such
as parabolic scaling, tightness and sparse
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带有visual接口的matlab稀疏表示算法，以及对应的文章-Visual interface with matlab sparse representation algorithm, and the corresponding articles
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Elad写的关于稀疏理论的书，内容丰富，适合初学稀疏理论的同学，不容错过额-a book about sparse representation of signal and its practice
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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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基于稀疏表示的逆合成孔径雷达自聚焦成像，讲述了自聚焦方法-Based on sparse representation inverse synthetic aperture radar imaging self-focusing
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应用局部表示进行图像显著度检测，该方法不需要事先学习字典。-local sparse representation for detecting image saliency with out learning a dictionary.
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ICCV会议的一个关于稀疏表示的教程，里面包含较为详细的理论知识，大牛的讲解让人通俗易懂-A ICCV meeting on tutorial sparse representation, which contains more detailed theoretical knowledge, to explain the straightaway
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利用稀疏表示原理来进行单幅影像超分辨重建(use sparse representation to single image super resolution)
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杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)
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组稀疏表达Matlab代码，同时里面包含了压缩感知信号稀疏表征的几种典型算法。(G r o u p S p a r s e B o x, the matlab codes for group sparse representation, some classical algorithms such as BMP, BOMP, StGOMP etc. also included.)
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