搜索资源列表
Face-Feature-Tracking
- 提出一种人脸特征点跟踪方法。首先, 运用ASM 获取人脸的特征点, 然后在选用Lucas Kanade光流算法的基础 上, 将初始帧和当前帧的前一帧有机结合起来, 共同作为当前帧的参考来进行特征点跟踪。实验结果表明该方法对特征 点的跟踪有很好的效果。-Proposed a facial feature point tracking method. First, the use of the ASM obtaining human face feature point,
KNN
- This simple KNN algorithm implementation for Feature selection, written in C-This is simple KNN algorithm implementation for Feature selection, written in C++
Based-onSVM-target-tracking
- 计算Haar小波特征，用AdBaoost提取部分有代表性的特征共三种特征选择方法与SVM相结合进行目标跟踪的算法。 -The calculated Haar wavelet features to extract some of the typical characteristics of three feature selection method combined with SVM algorithm for target tracking AdBaoost.
pcaica
- pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析-the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis
FGM_matlab_v2
- matlab for feature selection
基于matlab开发的特征选择算法
- 基于matlab开发的特征选择算法，提取ECG（心电信号）的最有特征组合，降低特征维度。-Based matlab developed feature selection algorithm the extracted ECG (ECG) is the most feature combination to reduce the feature dimension.
matlab后向选择算法
- 基于Matlab平台开发的用于特征选择的算法，后向选择算法，主要用于提取心电生理信号的表示特定情感的特征用于降低特征维度。-Backward selection algorithm for feature selection algorithm based on Matlab platform development, mainly for extraction of ECG physiological signal represents a specific emotional charact
信息熵算法
- 基于Matlab平台开发的用于生理信号特征选择的程序算法，信息熵算法，主要用于特征选择，属于模式识别的一类。-The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class
MI_cx_xx2
- A function to estimate the mutual information (MI) between pairs of features and target classes. A histogram approach is used in this implementation. This function can be used in feature selection.
Vs_mief
- Mutual information evaluation measure. A filter based method for feature selection.
GA_f
- A genetic algorithm based feature selection implementation. A wrapper based feature selection method.
BPSO0f
- A PSO based feature selection implementation. A wrapper based feature selection method.
Vs_mifs
- Mutual information based feature selection. A filter based feature selection method.
BAB
- 使用分支定界法进行特征选择，是基于单调准则函数进行优化搜索的一种方法。-Feature selection using the branch and bound method, a method based on a monotonic criterion function to optimize the search.
DET_selection
- 是一种特征选择方法，距离评价技术，可以降低特征值的维数。-Is a kind of feature selection methods, distance evaluation technology, can reduce the characteristic value of the dimension.
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!
aco_feature_selection_www.matlabsite.com
- ACO feature selection
mRMR_0.9_compiled
- mRMR_0.9_compiled---mRMR_0.9_compiled---This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection-mRMR_0.9_compiled---This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection
Feature-Selection
- Adaptive clustering algorithm
ellipsoidFN
- this code for "ellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions" new tool for feature selection (biomarkers discovery)