KVM (for Kernel-based Virtual Machine) is a full virtualization solution for Linux on x86 hardware. It consists of a loadable kernel module (kvm.ko) and a userspace component. Using KVM, one can run multiple virtual machines running unmodified Linux or Windows images. Each virtual machine has private virtualized hardware: a network card, disk, graphics adapter, etc. The kernel component of KVM is included in mainline Linux, and will appear in Linux 2.6.20. KVM is open source software.
标签： virtualization Kernel-based for hardware
上传时间： 2015-08-20
上传用户：lijianyu172
machine vision calibration
标签： calibration machine vision
上传时间： 2015-08-20
上传用户：gyq
a chap 2 for learn ing about java, it is a good for begineer start from learning for java
标签： for java begineer learning
上传时间： 2014-01-10
上传用户：evil
a chap 315 updated for learn ing about java, it is a good for begineer start from learning for java
标签： for java begineer learning
上传时间： 2015-08-23
上传用户：思琦琦
《java virtual machine》是研究jvm的一本书，由台湾的蔡学庸翻译，这是例子源码
上传时间： 2015-08-27
上传用户：源弋弋
SVM, Support Vector Machine 支持向量机程序
标签： Machine Support Vector SVM
上传时间： 2014-01-12
上传用户：rocketrevenge
This is the machine-generated representation of a Handle Graphics object and its children. Note that handle values may change when these objects are re-created. This may cause problems with any callbacks written to depend on the value of the handle at the time the object was saved.
标签： machine-generated representation Graphics children
上传时间： 2013-12-18
上传用户：miaochun888
U盘(auto病毒)类病毒分析与解决方案,asd
上传时间： 2015-08-28
上传用户：heart520beat
The third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.
标签： Emacs describes including Learning
上传时间： 2015-08-29
上传用户：caixiaoxu26
LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)
标签： Quantization Learning Vector LVQ
上传时间： 2015-08-31
上传用户：youke111
