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是有关图像处理，基于稀疏表示图像融合，用分块过完备表示-s related to image processing, image fusion based on sparse representation, complete said with a block
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A new fingerprint compression algorithm based on
sparse representation is introduced. Obtaining an overcomplete
dictionary from a set of fingerprint patches allows us to represent
them as a sparse linear combination of dictionary atoms.
In th
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图像稀疏表示近来比较流行!本文是一篇基于k-svd方法变换的快速方法的经典文章！-Image sparse representation of the more popular lately! This article is based on a quick way to change the method of k-svd classic article!
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基于几何形态学分析的图像分解工具箱，可以用来研究稀疏表示和图像压缩-Morphological analysis of images based on geometric decomposition toolbox can be used to study the sparse representation and image compression
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稀疏表示，包括ksvd图像去噪，很好 很好 很好 很好 很好 很好 -Sparse representation, including ksvd image denoising，Good good good good good good good good good good good good good good good good good good good good good good good good
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极限学习机\极速学习机\ELM
稀疏表示人脸识别\稀疏表示\L0范数求解
基于ELM与稀疏表示的混合人脸识别算法
AR人脸识别准确率95 .
文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artific
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本代码主要实现了基于双字典交叉稀疏表示的SAR图像变化检测的功能。-This code mainly realize the function of SAR image change detection is based on the double cross dictionary sparse representation.
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基于稀疏的图像超分辨率算法 内含图片和训练字典-Image Super-Resolution as Sparse Representation of Raw Image Patches
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基于稀疏的图像超分辨率 Yang Jianchao于2010年发表的，含程序-Image super-resolution via sparse representation
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基于小波变换的图像稀疏表示，用来进行图像去噪-Wavelet Transform for image sparse representation
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Group-based Sparse Representation for Image Restoration
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Structural Group Sparse Representation for Image Compressive Sensing Recovery
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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
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基于稀疏表示和非局部相似的图像去噪，来自于西安电子科技大学董伟生教授。-Image denoising based on sparse representation and nonlocal similarity
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Sparse Representation based Fisher Discrimination Dictionary
Learning for Image Classification
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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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基于组稀疏表示的图像填补算法，论文作者源代码-Image inpainting algorithm based on group sparse representation, the authors source code
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基于稀疏表示的图像超分辨算法，论文作者源代码-Image sparse representation based super-resolution algorithm, source code authors
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详细描述了基于稀疏表示的图像超分辨率重建，-Detailed describes the image super-resolution reconstruction based on sparse representation
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图像的稀疏表示，用小波系数经过的构造的矩阵稀疏化后，用少数的系数表示图像。-Image sparse representation, constructed after the matrix of wavelet coefficients after thinning, with a small number of coefficients represent the image.
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