搜索资源列表
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
KSVD_Matlab_ToolBox
- The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
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_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.
SNFAP
- 这是基于吸引子传播算法的改进，采用svd技术，还有半监督思想，有效提高聚类效果-K-nearest neighbor algorithm based on neural networks, and k-means for effective integration and improvement, improved k-means algorithm
ksvdbox.tar
- K-SVD algorithm toolbox
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
ksvdbox
- K-SVD算法训练字典的源码，可以直接调用，也可以修改迭代次数等参数。-K-SVD algorithm to train the dictionary source, can be called directly, or you can modify parameters such as the number of iterations.
KSVD_NN
- 字典学习算法，K-SVD算法，生成非负字典和系数。- variation of the KSVD algorithm for non-negative matrix factorization (non-negative dictionary and coefficients).
Local_MCA_KSVD
- 运用MCA算法，进行图像的分离，通过稀疏表示的K-SVD算法，将图像分为卡通和纹理部分-The MCA algorithm is used to separate the images. The sparse representation of the K-SVD algorithm is used to separate the images into cartoons and textures
ksvdbox13
- 奇异值分解算法，用于字典的学习和构建，可以很好的对数据进行降维和稀疏化。(Singular value decomposition algorithm for the study and construction of the dictionary, can be a good data for dimensionality and thinning.)
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)
solarized
- rform_dictionary_learning - learn a dictionnary using K-SVD algorithm. %. % [D,X,E] ... The number of iteration for sparse coding during each step of learning. % is given by ... 'mod': in this case, the dictionary update is computed using the L2.
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)
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