搜索资源列表
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附件程序为图像稀疏表示的源代码，程序用matlab编写，能正常运行。-Sparse representation of the image attachment program source code, programs written with matlab able to function properly.
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最热门的稀疏表示的算法，马毅等人在PAMI上发表的文章代码-Sparse representation of the most popular algorithms, Yi Ma, and others published an article in the PAMI code
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稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
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Images Denoising via Sparse and Redundant Representation
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图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
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參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」
Clustering-based Sparse Representation 的 matlab代碼-「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and
Clustering-based Sparse
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參考文獻「Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary」and matlab code.-「Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary」and matlab code.
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ksvd算法的代码，可以通过训练字典，从而实现对数据的稀疏表示。-ksvd algorithm code, through training dictionary in order to achieve the sparse representation of the data.
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运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。-Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training a
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本matlab源程序适用于论文 metasample-based sparse representation for tumor classification
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此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分-The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts
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Micheal Elad 的书“Sparse and Redudant Representation ”中14章应用篇的全部代码。-Code from the book "Sparse and Redudant Representation" of Micheal Elad, Chapter 14.
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稀疏表示的求解问题，里面包含了技术文档PDF和程序源码，可以用来进行group sparse representation-Sparse representation of the problem, which contains the technical documentation PDF and program source code, can be used to carry out sparse representation group
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Face recognition via Weighted Sparse Representation Face recognition via Weighted Sparse Representation
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ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 源码-ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 CODE and pdf
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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。-Source code to achieve the use of sparse representation based on the face recognition algorithm. Using GPSR as a method for minimizing the L1 norm.
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MATLAB implementation of compressive sensing example as described in R.
Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118],
July 2007. The code acquires 250 averaged random measurements of a 2500
pixel image. We assume that the ima
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MATLAB implementation of compressive sensing example as described in R.
Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118],
July 2007. The code acquires 250 averaged random measurements of a 2500
pixel image. We assume that the
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基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
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