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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 choose the procedure
Srinivas_Mukkamala
- 两种SVM特征选择方法，用PPT详细的阐述了作者的思路和实验情况，非常清除明白。-two feature selection method, the PPT detailed descr iption of the author's ideas and experiments, understand very clear.
cprogramtogetthecharactervalueofavector
- c语言矩阵特征值求解代码，在求解特征选择和特征提取时候使用的。欢迎各位测试，提意见。-c matrix eigenvalue language code for the solution of feature selection and feature extraction often used. Welcome to test opinions.
jiansuo
- 这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。-This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.
Using_Linux_to_Implement_8-and16-BitDevice_Network
- Abstract: By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these gateways are easily moved from full-blown host PCs to
FCBF-java
- Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlat
Boosting-beta2
- AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
2-separability-based-feature-s
- 2快速separability-based特征选择方法highdimensional遥感图像分类模式识别_guo_pattrec 41(8)1670 - 1670 1670 -2 A fast separability-based feature selection method for highdimensional remotely-sensed image classification Pattern Recognition 41 (8) 1670-1679 2008
mulimodel-data-and-feature-selection
- 多模态数据的特征提取方法：时间序列数据及DTW高斯核,图像数据及直方交核 和字符串数据及字符串核-Feature extraction method of multi modal data, time series data and DTW Gauss, the image data and the histogram intersection kernel and string data and String Kernel
feature-selection113
- 粗糙集；特征选择；核属性；不可分辨关系；依赖度；-rough set ；feature selection；Nuclear properties；indiscernibility relation；dependence
band-selection
- 基于图像对比度和波段相关性的波段选择算法，适用于高光谱图像的特征选择-Bands selection algorithm based on image contrast and correlation of bands for hyperspectral image feature selection
feature-selection
- 特征值提取MATLAB源代码，效率高，提取准确-Feature extraction
Bat-Selection
- 这是一种蝙蝠特征选择，其目标是从一个给定的一组特征中找到最重要的信息，优化数据-This code use as optimization of data by row or coulmn Feature selection aims to find the most important information a given set of features
duotezhengzishiyingyuzhi
- 多特征自适应阈值选取(Multi feature adaptive threshold selection)
featureSelection-master
- Feature subset selection
Feature_selector_Matlab
- feature subset selection methods
Binary Genetic Algorithm Feature Selection (2)
- Binary GA selection method
feature selection
- 各种信号特征提取，最大值，最小值，均值，商(Signal feature extraction)
2
- This paper presents an online feature selection algorithm for video object tracking. Using the object and background pixels from the previous frame as training samples, we model the feature selection problem as finding a good subset of features to
OptTest
- feature selection optimization