搜索资源列表
libsvm-mat-2[1].89-3
- svm多分类器，包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
svmlight
- 这是个经典的SVM分类器程序，非常好用的-This is a classical SVM classifier program, very easy-to-use
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
SVMbaseddetectionofthepopulation
- 基于SVM的人口检测 把SVM这种比较优化的分类器用于人口检测中去 以得到较好的效果-SVM-based detection of the population compared to such optimized SVM classifier to test for the population in order to obtain good results
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
EC_project
- Matlab source for blind classification of EEG data (BCI competition II data set IV)
SVMDecision
- VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。-VM classifier usually has a higher classification accuracy. I do not want too much here to say how the matter SVM, SVM is used to provide a method for identification. The combin
ComponentbasedFaceDetection
- Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level,
svm20
- SVM是一种最优而分类器技术，可以将高维不可分转换为现行可分-SVM classifier is the best one and the technology can be high-dimensional non-point conversion for the current can be divided into
multiboost-0.61.src.tar
- Adaboost实现，主要用于机器学习的多分类器聚合， 最终形成分类效果逐渐增强的分类器-Adaboost implementation, is mainly used for machine learning, multiple classifier aggregation, the final shape classification results show a gradual increase of the classifier
WebCategorization
- web分类系统 Web文档分类是Web挖掘中最基本的技术之一,而构造一个按照兴趣分类的分类器,需要做大量的预处理工作,来收集正负的训练样例。但负例的收集是非常困难的。文章提出了一个只有正例没有负例的学习模型。该模型主要是重复执行SVM。实验表明,该学习模型对于Web文档分类的分类精度和速度都是非常理想的-web classification system for Web document classification is a Web mining, one of the most basic
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
Face_Recognition_System_SVM
- Face recognition system using SVM-based classifier
SVMClassification
- 实现SVM数据挖掘分类模型，主要构造了SVM分类器。-Data mining to achieve SVM classification model, the main structure of the SVM classifier.
lect2
- 牛津大学机器学习课件 svm classifier-oxford svm classifier by prof. A. Zisserman
SVMclassifier_func
- This is a SVM classifier algorithm in Matlab.
libsvm.ps
- svm classifier for gene classification
svm
- SVM神经网络中的参数优化---如何更好的提升分类器的 性能-a important and popular classifier
PatternRecognition_Ch3_SVM
- This file is about svm classifier
fenleisuanfa
- 分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。-Perceptron algorithm were used, the least square error algorithm, linear SVM classifier algorithm, respectively, making face paint, and compare performance.