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feature_selection
- 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to cho
feature_selection
- 弹性模板匹配算法中的特征选择.pdf 弹性模板匹配算法中的特征选择.pdf
feature_selection
- 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to cho
feature_selection
- 弹性模板匹配算法中的特征选择.pdf 弹性模板匹配算法中的特征选择.pdf-Flexible template matching algorithm in feature selection. Pdf elastic template matching algorithm in feature selection. Pdf
feature_selection
- 两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面-Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection
feature_selection
- 特征选择-feature selection。。。。。。。。
feature_selection
- In pattern recognition and in image processing, feature extraction is a special form of dimensionality reduction.
feature_selection
- 顺序浮动向前选择：选取特征中影响系数较大的特征。-The order of floating forward options: select characteristics influence coefficient larger feature.
feature_selection
- MRMR和relieff特征选择方法，很经典的，简单易用！-The the MRMR and the relieff feature selection method, very classic, simple and easy to use!
feature_selection
- 特征选择的一些论文 包括期刊和学位论文，SAR图像和光学图像均有涉及，比较全面-some paper for feature selection
feature_selection
- 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to cho
feature_selection
- 特征选择的几篇重要文章，是我硕士论文研究方向的一部分，主要是根据最大相关最小冗余原则进行特征选择-Feature selection of a few important article, is a part of my master s thesis research direction, mainly according to the principle of maximum correlation minimum redundan
feature_selection
- 使用matlab语言编写而成，用于蚁群算法的特征提取和选择，已经验证过了-it is used to feature selection for aco,matlab