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mixing-matrix-estimate
- 二阶稀疏信号欠定盲分离，基于超平面法矢量的混合矩阵的估计-Second-order sparse underdetermined blind signal separation method based on hyperplane vector mixing matrix estimate
AR_SKFA
- 在ar人脸库上的sparse kernel feature analysis程序，该程序挨个计算kernel空间鉴别向量，最后组成鉴别向量集进行分类-In the ar face database on the sparse kernel feature analysis program, which identified one by one calculation kernel space vector, the final set of vectors to classify the co
vectprod
- helpful code for sparse matrix vector product
smvppp
- Fast sparse matrix vector product
mi-(2)
- 幂法是一种计算矩阵主特征值(矩阵按模最大的特征值)及对应特征向量的迭代方法, 特别是用于大型稀疏矩阵。 -The power method is a method of calculating the matrix eigenvalue (matrix largest characteristic value) and the iterative method of the corresponding feature vector, particularly for large spars
Sp
- 这是一个建立在OMP算法基础上，笔者自己提出来的一个稀疏分解的DOA估计算法，利用阵列流形矢量间的不相关进行匹配追踪选择，选出与信源位置流形最接近的，以便求得DOA-This is a building based on the algorithm of OMP, the author himself a sparse decomposition algorithm for DOA estimation, using the array manifold a vector between the
CSL1.0
- A Comprehensive Sparse Learning Package-Descr iptions: Six sparse algorithms are implemented in this package. They are 1) SVM 2) L1-norm SVM a) Linear Programming SVM b) SC-SVM 3) L0-norm SVM 4) RVM (Relevance Vector Machine) 5)
gmres
- gmres 方法。视图求解线性方程组A*x=b的解x。nXn的稀疏矩阵A必须是方程且应是大型稀疏矩阵。列向量b的长度必须为n。-gmres method. View solving linear equations A* x = b the solution x. nXn sparse matrix A must be equation and should be large sparse matrix. The length of the column vector b must be to
my_sparse
- 稀疏性最小二乘支持向量机，针对最小二乘支持向量机缺少稀疏性的问题，以特征提取为基础提出具有稀疏性解的最小瓶二乘支持向量机-Sparsity LSSVM for LSSVM lack sparsity issues to feature extraction is proposed based on the solution of sparse least squares support vector machine bottle
RVM
- 新的回归向量机，用于回归拟合，相关论文可以参考sparse bayesian learning and relevance vector machine(New Regression Vector Machine for Regression Fitting)