登录
首页 » matlab » FastSVDD-master

FastSVDD-master

于 2021-03-08 发布
0 237
下载积分: 1 下载次数: 4

代码说明:

说明:  支持向量数据描述(Support Vector Data Description,SVDD)是一种单值分类算法,能够实现目标样本和非目标样本的区分,通常应用于异常检测和故障检测等领域。(Support vector data description (SVDD) is a single valued classification algorithm, which can distinguish target samples from non target samples. It is usually used in anomaly detection and fault detection.)

文件列表:

FastSVDD-master, 0 , 2015-05-19
FastSVDD-master\.gitignore, 27 , 2015-05-19
FastSVDD-master\Code, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\computeKgm.m, 812 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\decn.png, 10354 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\ellipse.mat, 6342 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\fsvdd_predict.m, 939 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\fsvdd_train.m, 2849 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\load_data.m, 499 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\svkernel_new.m, 2573 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\test_fsvdd.m, 2788 , 2015-05-19
FastSVDD-master\Code\Ellipse\gen_data.m, 732 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\computeKgm.m, 812 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\data.png, 8745 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\decn.png, 10336 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\ellipse.mat, 6342 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\load_data.m, 531 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svdd_predict.m, 1042 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svdd_train.m, 2670 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svkernel_new.m, 2586 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\test_svdd.m, 2609 , 2015-05-19
FastSVDD-master\Code\FisherIris, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\Results.txt, 1520 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\computeKgm.m, 596 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\computeResults.m, 1616 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\computeResults_fpt.m, 1622 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\data.mat, 8326 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\fsvdd_predict.m, 939 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\fsvdd_train.m, 2849 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\fsvdd_train_fpt.m, 3419 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\load_data.m, 3962 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\svkernel_new.m, 2585 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\test_fsvdd.m, 1721 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\test_fsvdd_fpt.m, 1798 , 2015-05-19
FastSVDD-master\Code\FisherIris\mlffnn, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\mlffnn\load_data.m, 4111 , 2015-05-19
FastSVDD-master\Code\FisherIris\mlffnn\mlffnn.m, 4102 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\Results.txt, 920 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\computeKgm.m, 612 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\computeResults.m, 1552 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\data.mat, 8326 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\iris_1.png, 5625 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\iris_2.png, 5258 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\load_data.m, 3943 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svdd_predict.m, 1042 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svdd_train.m, 3003 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svkernel_new.m, 2586 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\test_svdd.m, 1622 , 2015-05-19
FastSVDD-master\Code\README.txt, 1087 , 2015-05-19
FastSVDD-master\Code\Wine, 0 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\Results.txt, 898 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\computeKgm.m, 596 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\computeResults.m, 1556 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\computeResults_fpt.m, 1583 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\fsvdd_predict.m, 939 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\fsvdd_train.m, 2855 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\fsvdd_train_fpt.m, 3786 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\load_data.m, 3271 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\svkernel_new.m, 2587 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\test_fsvdd.m, 1880 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\test_fsvdd_fpt.m, 1943 , 2015-05-19
FastSVDD-master\Code\Wine\mlffnn, 0 , 2015-05-19
FastSVDD-master\Code\Wine\mlffnn\load_data.m, 3488 , 2015-05-19
FastSVDD-master\Code\Wine\mlffnn\mlffnn.m, 4289 , 2015-05-19
FastSVDD-master\Code\Wine\svdd, 0 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\Results.txt, 621 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\computeKgm.m, 596 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\computeResults.m, 1536 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\data.mat, 29144 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\load_data.m, 3272 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svdd_predict.m, 1042 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svdd_train.m, 2718 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svkernel_new.m, 2585 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\test_svdd.m, 1929 , 2015-05-19
FastSVDD-master\Code\overlapping, 0 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\Results.txt, 2680 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\computeKgm.m, 612 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_1.png, 16694 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_1_fpt.png, 16633 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_2.png, 16192 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_2_fpt.png, 16237 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_3.png, 15679 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_3_fpt.png, 15699 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_4.png, 15479 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_4_fpt.png, 15444 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\fsvdd_predict.m, 1007 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\fsvdd_train.m, 2931 , 2015-05-19

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

  • 01
    这是一个关于偏最小二乘法的程序,使用Matlab编写。(partial least squares method)
    2013-09-29 13:27:59下载
    积分:1
  • impanting
    this project on image impainting of gray image. this project repair the damage part of image from getting information from the image.
    2014-02-21 21:26:22下载
    积分:1
  • MODID
    This paper presents an algorithm for modulation recognition of received signals in the presence of additive white Gaussian noise (AWGN) with the use of the wavelet transform
    2010-07-05 20:11:14下载
    积分:1
  • glyunshu
    这是一个非常重要的而又简单的程序,是书上常用和数学建模的好帮手(nice work )
    2013-08-12 11:13:24下载
    积分:1
  • raw_save
    将图片重建为三维raw数据,得到nfo文件(reconstruct the picture into 3d raw data and obtain nfo file)
    2012-09-08 11:02:05下载
    积分:1
  • paper2
    Novel fast motion estimation algorithm based on optimizing predictive motion vector
    2011-12-04 15:43:48下载
    积分:1
  • danchunxing
    单纯形优化算法可以很好的得到想要的结果哦,速度还可以(danchunxing)
    2010-05-07 17:30:33下载
    积分:1
  • contourlettransform
    基于边缘和局部能量的NSCT变换遥感图像融合(Adaptive multi-spectral and panchromatic images fusion algorithm based on unsubsampled contourlet transform)
    2010-05-24 15:19:19下载
    积分:1
  • DrawEarth
    利用增加一个角度来调整地球旋转的变化,利用这个参数,可以绘制看起来是旋转的地球(The use of an additional angle to adjust the changes in the Earth' s rotation, using this parameter, you can draw the Earth' s rotation appears to)
    2009-11-08 10:36:23下载
    积分:1
  • 19216821442008551524442502642
    背景处理的matlab处理程序。研究次课题的人可以参考(matlab)
    2009-05-11 15:08:25下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载