搜索资源列表
k_svd
- k-svd算法m代码.用于形成冗余字典，对图像进行稀疏分解-m k-svd algorithm code used to create a redundant dictionaries, sparse decomposition of images
alg_KSVD
- The K-SVD algorithm written in Matlab
KSVD
- K-SVD算法程序，利用聚类算法对字典进行训练-K-SVD algorithm program, the use of clustering algorithm is trained on a dictionary
K-SVD-algorithm
- 是一个关于KSVD的算法介绍的PPt，详细介绍了如何用KSVD算法对字典进行训练-On KSVD algorithm described in the PPt details how KSVD algorithm dictionary training
AKSVD
- 该算法是K-SVD算法的一种改进算法。该算法可以用于稀疏字典的学习中。与传统方法相比，能够有效的降低计算量，提高字典更新的速度。-The algorithm is an improved algorithm of K-SVD algorithm. The algorithm can be used to sparse dictionary learning. Compared with conventional methods, it is possible to effectively red
KSVD-dictionary-learning-Matlab
- 这个程序可以对KSVD进行综合测试。首先，会产生一个随机的正交字典，会产生一个ＫＳＶＤ算法输入，这个输入是一个数据信号集合，每个元素都是三维元素的线性组合。-In this file a synthetic test of the K-SVD algorithm is performed. First, a random dictionary with normalized columns is being generated, and then a set of data signal
KSVD_Matlab_ToolBox
- 这是线性训练K-SVD词典的一种新算法 表示的信号。给定一组信号，K-SVD试图 提取物，可以稀疏表示这些信号最好的词典。 深入讨论了K-SVD算法中可以找到的： “K-SVD：设计的超完备字典的一个算法 稀疏表示”，由M.阿哈，M. Elad和点写，适应性， 在IEEE Transactions出现。在信号处理，卷54，11号， 第4311-4322，十一月2006。-he K-SVD is a new algorithm
k-svd-algorithm
- K-svd algorithm for classifier-K-svd algorithm for classifier...
K-SVD
- k-svd算法在表情识别方面的实现和实例应用，附有图片和文章。-k-svd algorithm for face recognition on the implementation and application examples, with pictures and articles.
K-SVD
- K均值，K-SVD算法，字典学习，英文版算法的翻译-K-means, K-SVD algorithm, dictionary learning algorithm in English translation
K-SVD_code
- 做实验时找到的K-SVD算法的Matlab代码，很好用,有需要的可以下载下来一起研究下-When doing experiments to find the K-SVD algorithm Matlab code, easy to use, there is a need to study together can be downloaded under
K-SVD
- K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。-K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decom
K-SVD-algorithm
- KSVD算法，对于字典训练很实用，并且，对于基于稀疏表示方法，可以提高精度-KSVD algorithm for dictionary training is very practical，And, based on sparse representation method, can improve the precision
k-svd-codeappt
- 内含用matlab编写的k-svd算法代码.可以对图像进行稀疏分解，另附ppt对ksvd进行理论学习-Includes using matlab k-svd algorithm code. Images can be sparse decomposition, attached ppt theoretical study of ksvd
ksvdbox
- K-SVD算法用于稀疏表达,基于OMP算法。(The algorithm is apply for sparse representation)
K-SVD
- 稀疏编码和字典学习算法，正交匹配追踪算法获得稀疏表示稀疏，ksvd用来学习字典(Sparse coding and dictionary learning algorithm, orthogonal matching tracking algorithm to obtain sparse sparse, ksvd used to learn the dictionary)
ksvdsbox11
- K-SVD一种经典的用来训练稀疏字典的方法(Implementation of the K-SVD and Approximate K-SVD dictionary training algorithms, and the K-SVD Denoising algorithm [ref]. Requires OMP-Box v10.)
107215802AnalysisKSVD
- 实现图像的稀疏编码，采用k-svd进行字典学习，omp算法进行稀疏表示系数的计算，内附有去噪例子(To achieve the image sparse coding, using K-SVD dictionary learning, OMP algorithm for sparse representation of the calculation of factors, with examples of denoising)
K-SVD_SOMP-master
- 基于K-SVD方法的图像去噪算法，代码是MATLAB版的(Image denoising algorithm based on K-SVD method, the code is MATLAB version of)
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