文件名称:REDA_Code
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 3.22mb
- 下载次数:
- 0次
- 提 供 者:
- w***
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
基于信息论的特征提取算法,matlab平台开发,可用于图形图像的特征提取-The feature extraction algorithm based on information theory, matlab platform can be used for graphic image feature extraction
(系统自动生成,下载前可以参看下载内容)
下载文件列表
REDA Code
.........\Example
.........\.......\REDA-Test-MNIST
.........\.......\...............\data
.........\.......\...............\....\MNIST_Test.mat
.........\.......\...............\....\MNIST_Train_MisLabelling.mat
.........\.......\...............\results
.........\.......\...............\.......\ite_1.fig
.........\.......\...............\.......\ite_26.fig
.........\.......\...............\.......\ite_6.fig
.........\.......\...............\.......\QRE_Curve.fig
.........\.......\...............\.......\SR_vs_IT.fig
.........\.......\...............\.......\Thumbs.db
.........\.......\...............\source code
.........\.......\...............\...........\constructKernel.m
.........\.......\...............\...........\EuDist2.m
.........\.......\...............\...........\Example_MNIST.m
.........\.......\...............\...........\NC_Classifier.m
.........\.......\...............\...........\REDA.m
.........\REDA.m
.........\Example
.........\.......\REDA-Test-MNIST
.........\.......\...............\data
.........\.......\...............\....\MNIST_Test.mat
.........\.......\...............\....\MNIST_Train_MisLabelling.mat
.........\.......\...............\results
.........\.......\...............\.......\ite_1.fig
.........\.......\...............\.......\ite_26.fig
.........\.......\...............\.......\ite_6.fig
.........\.......\...............\.......\QRE_Curve.fig
.........\.......\...............\.......\SR_vs_IT.fig
.........\.......\...............\.......\Thumbs.db
.........\.......\...............\source code
.........\.......\...............\...........\constructKernel.m
.........\.......\...............\...........\EuDist2.m
.........\.......\...............\...........\Example_MNIST.m
.........\.......\...............\...........\NC_Classifier.m
.........\.......\...............\...........\REDA.m
.........\REDA.m