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Webinar_Files
- Working with large images presents a number of challenges such as managing memory use and leveraging high-performance resources ranging from multicore desktops to clusters and grids. In this webinar you ll discover new features in MATLAB and Ima
gmkl
- gmkl算法源码，广义多核学习，可用图像多类分类。-gmkl algorithm source, the a generalized multicore learning, free image multi-class classification.
multi-kernel-path-1.1
- Computing regularization paths for learning multiple kernels另一个多核学习算法 可用于多类分类 目标检测-Computing regularization paths for learning multiple kernels The other multicore learning algorithm for multi-class classification target detection
Multicore_programming
- multicore programming using openmp image filter mandlebrot linked list
Fibonacci-and-linkedlist
- multicore programming using openmp Fibonacci series linked list
mLMNN2.3
- 多核处理多特征的融合（matlab实现——提供测试数据）-Multicore processing multi-feature fusion (matlab achieve- to provide test data)
intel_mutilcore_smoke-source-r1.2
- intel 基于多核优化游戏引擎示例代码。根据cpu核心数创建多个线程，并行处理AI 物理、特效 渲染等，提高帧率和流畅度。由于pudn文件大小限制，删除了资源文件，只留下源代码。-intel multicore optimized game engine example is based on code. Creating multiple threads based on the number of cpu core, parallel processing AI physics, effe
SimpleMKL
- 很经典的一个多核学习程序SimpleMKL，包括对应的文章和demo程序，可以很容易学习和上手MKL的原理和应用！-A classic learning program multicore SimpleMKL, including the corresponding articles and demo program that makes it easy to learn and to use the principles and applications of MKL!
GMKL-matlabcode
- 比较经典的一个多核学习MKL代码（GMKL Generalized MKL），里面包含其对应的文章，很容易学习和调试！-Learn more classic a multicore MKL Code (GMKL- Generalized MKL), which contains the corresponding article, it is easy to learn and debug!
demo_SGMKL
- 多核学习Sparse GMKL的代码，采用L1+L2范数约束，代码很详尽！-Multicore learning Sparse GMKL code, using L1+L2 norm constraint, the code is very detailed!
total_mkl_matlab
- MKL多核学习综述文章对应的很多MKL代码的合集，里面有很多有代表性的代码，非常详细！-MKL multicore learn many review articles MKL code corresponding collection, there are a lot of representative code, very detailed!