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Sparse_Representations_classifier
- 一个常用的稀疏表示分类器,SRC分类器,用于信号或图像分类,需共同配合CVX运行,可见示例example.m。-Applying for Sparse Representaion Classification with the method SRC, cooperating with the CVX file. See example.m for a trying run.
ksvdsbox11-min
- KSVD 算法 K-SVD通过构建字典来对数据进行稀疏表示,经常用于图像压缩、编码、分类等应用(KSVD algorithm K-SVD sparse data is represented by building dictionaries, often used for image compression, coding, classification, and other applications)
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
AnalysisKSVDbox
- K-SVD可以看做K-means的一种泛化形式,K-means算法总每个信号量只能用一个原子来近似表示,而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示,经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each sem
Fisher字典学习
- 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.)