搜索资源列表
KSVD_Matlab_ToolBox
- K-SVD算法应用，图像去噪，提高图像质量-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.
SVD-based-image-improvement
- 是一篇使用 SVD（奇异值分解）来提高图像视觉效果的算法。-It is an article that use SVD (singular value decomposition) algorithm to enhance the visual effect.
4MUAV
- SVD算法的C语言程序实现,能实现实矩阵的SVD算法-SVD algorithm C language program
K-SVD
- 基于K-SVD的字典学习算法，讲解很透彻，值得一读。-Based on K-SVD dictionary learning algorithms, on the very thorough, well worth reading.
KSVD-of-speech-enhancemant
- 基于字典学习的语音增强中字典更新的算法，称作近似K-SVD算法，其中包含了OMP算法用于稀疏编码计算系数矩阵-Dictionary-based learning dictionary speech enhancement algorithm update, called approximate K-SVD algorithm, which contains the sparse coding algorithm is used to calculate the coefficient matri
NEW-SVD-SVD-Hashing
- 图像哈希算法，SVD-SVD的编码。可供做图像hash的研究人员做对比试验-image hash SVD-SVD
CPPSVD
- SVD算法，用于矩阵奇异值分解，也可用于流动机理性研究附加算法。-SVD Singular Value Decomposition
svd
- 基于householder变换和QR分解的矩阵svd分解算法-svd using householder transformation and matrix QR decomposition
matlab-SVD
- 用matlab实现奇异值分解的算法,奇异值分解是LSA的基础，要理解LSA必须了解SVD.-Using matlab to achieve the singular value decomposition algorithm, singular value decomposition is the basis of the LSA, LSA must know to understand the SVD.
matlab1
- 【谷速软件】matlab代写源码-SVD算法 可以作用参考使用-[Valley] matlab to write fast software algorithms can act reference source-SVD use
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.
test.tar
- 用于推荐系统的svd算法，以movielens 1m数据集为例，并有调参数方法-an implemention of svd algorithm for recommender
MySVD
- 本人自己编写的稀疏表示的SVD算法代码，简单可靠，运行效率高。-SVD algorithm code I have written a sparse representation, simple and reliable, high operating efficiency.
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).
LEAST-SQUARE-BASED-svd
- 基于l1,l2 NORM 的最小二乘法，岭回归等算法，懂的人一看就知道好用，利用SVD进行计算的-Based on L2, NORM L1 least square method, ridge regression and other algorithms, the people who understand the good use, the use of SVD for calculation
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
SVD_Simon
- SVD算法，用来实现矩阵分解，采用了梯度下降的思想来进行计算- SVD algorithm is used to implement matrix decomposition, using a gradient descent ideas to be calculated
Dictionray-Learning
- 压缩感知理论中字典学习算法的实现和对比。2015年新提出的解析解算法和传统的K-SVD算法进行了对比试验。-Compressive sensing theory and comparative dictionary achieve learning algorithms. Analytic solution algorithm and the traditional K-SVD algorithm proposed in 2015 the new test were compared.
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