stroke_detail

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

MATLAB演奏卡农 MATLAB演奏卡农 MATLAB演奏卡农(MATLAB play岁Canon)

非线性调频信号的产生及其时域脉压程序。非线性调频信号的产生及其时域脉压程序。(The evolution of nonlinear frequency modulation signal and its time-domain pulse pressure.)

基本谱减法 实现基本谱减法MATLAB程序，为实现改进算法提供必要支持(Basic spectral subtraction to achieve the basic spectral subtraction MATLAB program for the realization of improved algorithms to provide the necessary support)

Matlab的编程例题，关于BP神经网络的PID温度控制(Matlab programming examples on BP neural network PID temperature control)

说明：   ( )

程序函数id3，该程序主要用于数据挖掘领域。(function id3 procedures, the procedures are used mainly for data mining areas.)

自己尝试编写的核主元分析（KPCA）程序(Try to write a kernel principal component analysis ( KPCA ) program)

matlab m file in communication

基于matlab的成绩统计表，输入成绩，自行统计最高分，最低分，均分等(Matlab-based performance statistics, enter grades, self Statistics highest score, lowest score, sharing, etc.)