搜索资源列表
CAGA_O_F
- 关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
8080524
- 基于特征选择和svms的图像分类 MI算法-Feature selection and image classification svms
a
- SVM 特征选取的c代码，训练正负两类样本快速提取-C code for SVM feature selection, training, rapid extraction of the two kinds of positive and negative
invariant-optimal-feature-selection
- invariant optimal feature selection
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,
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.
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
Self-adaptive-evolution-feature
- 2013 Self-adaptive differential evolution for feature selection in hyperspectral image data
data-mining-feature-selection-method
- 数据挖掘论文面向高维数据挖掘的特征选择方法研究，感觉挺不错，分享一下-Data mining papers for high-dimensional data mining feature selection method, I feel very good to share
Lasso
- ：Lasso 是一种基于一范式的特征选择方法。与已有的特征选择方法相比较，Lasso 不仅能够准确地选择出与类标签强相 关的变量，同时还具有特征选择的稳定性，因而成为人们研究的一个热点-: Lasso is a paradigm based on a feature selection method. Compared with the existing feature selection methods, Lasso not only to accurately select a stro
wajue222
- 针对实际幵发的一个客户关系管理系统,在开发与研究的过程中结合 数据挖掘技术对其中的数据进行了一些离散化、特征选择等预处理 在对数据 进行预处理的过程中对FCBF (Fast Correlation-Based Filter,基于快速的筛选/ 过滤)算法做了改进,改进后的算法能更好的对数据进行特征选择 -The actual concurrency and a customer relationship management system, combined with th
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 redundancy feature selection
pre_affectation_s1_2014-2015
- feature selection using genetic algorithm
human-activity-recognition-
- A feature selection based framework for human activity recognition using wearable multimodal sensors
1-s2.0-S1568494613001361-main.pdf
- Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
mRMRe
- 一个程序包的说明，用于机器学习中重要特征进行选择的文档-one package for feature selection
impoetant
- Correlation-based Feature Selection for Machine Learning for the degree of Doctor of Philosophy at The University of Waikato
pca-feature-sel
- tHIS FILE DESCRIBES THE FEATURE SELECTION TECHNIQUE FOR MAMMOGRAM FEATURES
9788132219842-c2
- Feature Selection using Particle Swarm Optimization for Thermal Face Recognition
2808-14159-1-PB
- In this paper, we systematically explore feature definition and selection strategies for sentiment polarity classification. We begin by exploring basic questions, such as whether to use stemming, term frequency versus binary weighting, negation-enr