搜索资源列表
cgeev0
- 调用mkl的矩阵求本征值和本征函数,并得到计算时间-Call MKL for caculate the matrix s eigenvalue and eigenfunction，and get the efficiency
hyperspectral
- Field: Digital Image Processing i)Reading Hyperspectral Images ii) Reshaping the input images ii) Singular value decomposition using C , Intel OpenCV and Intel MKL
C_MKL_test
- VC下调用Inter MKL数学库的例子-Cut MKL system using VC example of mathematics libraries
MKL-DR
- MULTIPLE KERNEL LEARNING FOR DIMENSIONALITY REDUCTION
pardiso_unsym_c
- 利用Intel mkl求解线性方程组的例子，其中调用了pardiso函数，特别适合快速求解稀疏线性方程组-Intel MKL for solving linear equations with examples, which calls pardiso function, particularly suitable for fast sparse linear equations
cgeev0
- 调用mkl的矩阵求本征值和本征函数,并得到计算时间-Call MKL for caculate the matrix s eigenvalue and eigenfunction，and get the efficiency
MKL
- mkL 多核学习，介绍的很详细，附有论文地址，包括所有相关的代码-mkL multicore study, described in great detail, with papers address, including all related code
simple-mkl-python-master
- 多特征融合的分类方法,主要实现多核函数的分类归纳从而比较单核函数下特征描述不足(The classification method of multiple feature fusion mainly realizes the classification and induction of multi kernel functions, thus comparing the feature descr iption of single kernel function)
examples_core_f
- MKL库使用案例，包含了常用的数值计算的函数和案例，很好的工程计算入门代码。(MKL library use cases, including the commonly used functions and cases of numerical calculation, good engineering calculation entry code.)
multi-kernel-path-1.0
- c++实现多核学习mkl，效率较高，实现了mkl功能(C++ implementation of multi-core learning MKL, the efficiency is high, and the MKL function is realized.)
numpy-1.13.3+mkl-cp27-cp27m-win32.whl
- pip for Python2.7，Python的插件，用于安装其他插件(PIP for Python2.7, Python plugin, used to install other plug-ins)
smo-mkl
- 多核学习+SMO算法的代码实现，包括java版本、python版本和C++版本(Multiple Kernel Learning and the SMO Algorithm)
pardiso
- Intel MKL库自带大规模稀疏矩阵求解器(Large-scale sparse matrix solver by Intel MKL library)