登录
首页 » matlab » KFDA

KFDA

于 2010-05-31 发布 文件大小:2KB
0 250
下载积分: 1 下载次数: 364

代码说明:

  核Fisher鉴别分析方法(KFDA)。KFDA方法的基本思想是首先将原始训练样本通过一个非线性映射 映射到某一高维(可能是无限维)特征空间F中,然后在F中执行Fisher鉴别分析。(Nuclear Fisher discriminant analysis method (KFDA). The basic idea of KFDA method is the first original training data by a nonlinear mapping  mapped to a high dimensional (possibly infinite dimensional) feature space F, then F in the implementation of the Fisher discriminant analysis.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • tran
    模拟列车运行,计算列车的运行图,分析运行状态(silmuation raily)
    2021-04-11 16:28:58下载
    积分:1
  • dmc
    MATLAB DMC算法 基本代码 看懂了就可以按照自己的要求改写了(The basic code of the MATLAB DMC algorithm is understood and can be rewritten according to its own requirements)
    2020-09-29 10:47:43下载
    积分:1
  • kalmanfilter
    说明:  包含一个VC程序和几个matlab程序一个基于Opencv的预测随机运动的点的经典例子(kalman fiter)
    2009-08-04 09:12:10下载
    积分:1
  • matlab_hyperspectral_toolbox_v0.04
    说明:  一个用Matlab处理高光谱图像的程序工具箱,里面包含了处理高光谱图像的GUI工具箱,可以很方便的处理高光谱图像。(A hyperspectral image processing using Matlab toolbox program, which includes the processing of hyperspectral images GUI toolkit, can easily handle high-spectral images.)
    2011-03-05 17:01:27下载
    积分:1
  • zzz
    输入x,y的值,并将它们的值互换后输出。(Enter the x, y values​ ​ , and their values ​ ​ are interchangeable output.)
    2013-10-10 11:22:45下载
    积分:1
  • magnetometer
    利用磁力计进行姿态估计的程序,用到了欧拉角法和四元数的方法(The use of magnetometers for attitude estimation procedures used in the Euler angle method and quaternion method)
    2013-11-27 14:05:44下载
    积分:1
  • zishiying
    基于最小二乘辨识的模型参考自适应,含有详细word说明文件(Based on the model reference adaptive least squares identification, documentation contains detailed word)
    2013-12-22 16:37:55下载
    积分:1
  • digitalcommunications
    数字通信(第四版),国外经典教材系列的中文版。(Digital Communication (Fourth Edition))
    2020-12-21 22:19:08下载
    积分:1
  • Mppt
    Description about Mppt algorithm
    2013-02-06 13:22:07下载
    积分:1
  • CS4VM
    In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper
    2014-10-21 00:18:03下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载