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svm_v0.55beta
- 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verl
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
Kernel_Methods_for_Pattern_Ana
- 该文档包含了描述核方法的经典书籍Kernel+Methods+for+Pattern+Analysis以及附带书中的源码，非常适合学习核方法的研究者，希望大家喜欢～,this document include the classic book Kernel+Methods+for+Pattern+Analysis which describs the kernel trick in detail, and with the souce code in it, hope you will like
pstree
- linux 下的打印进程树的代码，两种方法，一种是基于内核模块的，一种是用proc实现的-linux printing process under the tree code, the two methods, one is based on the kernel module, and one is achieved by proc
kernel_pca
- Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with
Advances_in_kernel_methods
- 这本书的内容基本摘自NIPS会议上的文章，质量高内容也很有深度，是一本经典的svm参考书。-the book with the name "advances in kernel methods",it is a classic book about kernel methods and svm.
F_KDDA_PolyPro
- kernel methods for face recognition
kernel
- Kernel-based 图像去噪和复原算法，是一种基于图像局部特征的复原方法。-Kernel-based algorithm for image denoising and restoration, is a local feature of image-based recovery methods.
1
- 基于应用程序的嵌入式Linux内核自动裁剪，描述了Linux的内核的裁决方法-Embedded Linux-based applications automatically cut kernel, describes the ruling Linux kernel methods
1
- 嵌入式图像识别硬件平台研究，描述了如何在嵌入式平台下，进行图像识别-Embedded Linux-based applications automatically cut kernel, describes the ruling Linux kernel methods
KM-for-PhD-Kernel-Methods
- 该文档包含了描述核方法的PPT,非常有价值-Kernel Methods
Linux-kernel
- 此资料详细的介绍了linux内核学习的方法和在内核学习过程中一些技巧-This shows in detail the linux kernel learning methods and learning process at the core tips
Linux_loadable_kernel_module_mechanism_and_applica
- 为了缩短 Linux 开发和测试的时间，提高开发效率。详细分析了Linux 可加载内核模块机制即LKM(Loadable Kernel Module)的工作原理、实现细节和LKM 机制中的关键技术，总结了在实际开发中针对最新内核稳定版本2.6 编写内核模块的方法和需要注意的问题。在Linux操作系统环境下应用LKM 对零拷贝原理进行了实现。在Linux 开发和研究中应用LKM 可以大大加快开发速度-In order to shorten the Linux development and tes
Kernel_Methods_for_Pattern_Analysis.pdf
- 模式识别：核方法，英文版。模式识别类经典外文书籍。PR,ML类必看大作。PDF矢量版。-Kernel Methods for Pattern Analysis
Linux-Kernel-Development
- Unix 内核开发， 目录如下： Contents at a Glance 1 Introduction to the Linux Kernel 1 2 Getting Started with the Kernel 11 3 Process Management 23 4 Process Scheduling 41 5 System Calls 69 6 Kernel Data Structures 85 7 Interrupts and Interrupt H
kernel-methods
- kernel methods for pattern analysis
kernel-methods-for-pattern-analysis
- 关于核及模式分析的一些方法,主要包括三个部分-some algorithms on pattern analysis and kernel methods,kernel method for pattern analysis
KERNEL-PCA
- Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a n
Kernel
- Kernel methods for feature extraction
Overloaded-kernel
- Overloaded kernel 的方法 VC 代碼-Overloaded kernel methods VC code