-
LinearClassifier_1.0
基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)
- 2021-01-17 10:38:45下载
- 积分：1
-
chengxu
求解二维对流扩散方程，采用径向基函数配点无网格法(Solving two-dimensional convection-diffusion equation using radial basis function collocation meshless method)
- 2009-10-12 21:30:58下载
- 积分：1
-
function
this is a matlab program for function
- 2009-10-29 01:18:02下载
- 积分：1
-
MultipathSimulation
说明： 用matlab程序仿真基带QPSK信号通过多径信道的产生
(Process simulation baseband QPSK signals generated multipath channel in matlab)
- 2010-04-22 10:44:08下载
- 积分：1
-
example-matlab
Matlab examples txt files developped on matlab just copy and paste in m file, you will get the result
- 2015-03-17 17:59:13下载
- 积分：1
-
PCAL1
TPami上的Principal Component Analysis Based on L1-Norm Maximization的源代码，我是向作者要的。(source code of Principal Component Analysis Based on L1-Norm Maximization)
- 2012-02-14 17:45:30下载
- 积分：1
-
均匀方格法点云精简
能实现最小包围盒法方格划分，并利用中值进行点云精简(The minimum bounding box method can be implemented and the median value can be used to simplify the point cloud.)
- 2020-11-23 16:09:34下载
- 积分：1
-
GLCCA
该文件被用于人工数据集的测试。这些数据都是随机生成的。在百度中也可以搜索到相关内容。数据集名字为ultwotwo(this file can used for Performance Comparison on Artificial Data)
- 2013-09-15 13:31:41下载
- 积分：1
-
TSP-using-ICA
Traveling salesman problem with imperialist competitive algorithm
- 2014-10-17 06:00:51下载
- 积分：1
-
libsvm-pattern-classification
matlab平台下libsvm程序包进行模式分类(libsvm in matlab to pattern classification)
- 2013-03-16 23:49:21下载
- 积分：1
