搜索资源列表
Matlab-m-SVM-code
- 这是我在网上找了很久的多分类支持向量机matlab代码,欢迎交流!-This is my search on the net for a long time many classification support vector machine matlab code, welcome exchanges!
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
svm-EM
- SVM(支持向量机)和EM(最大熵)文本分类算法,压缩包中包括了测试文本(环境类和计算机类),词典,停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
DotNET2008BasedSVM
- 支持向量机用于遥感影像分类,是一种高效、高精度的人工智能分类算法-SVM is a powerful classification algorithm
svm
- 支持向量机在目标分类中的应用,对支持向量机初学者应该有帮助-Support Vector Machine Classification in the target application of support vector machine for beginners should be helpful
supportvector
- 完成支持向量机方法的文本分类 用C++语言编写-The completion of support vector machine method of text categorization with C++ Languages
SVM
- 支持向量机是一种有效率数据挖掘分类工具,它做为预处理工具使用-Support vector machine is an efficient classification of data mining tools, which tools to use as a pretreatment
SVM
- 支持向量机(SVM)用于分类的算法实现-svm
svdd_tool
- 支持向量域是近几年采用的一种较新的分类器,是在其支持向量机的基础上发展而来。-the tool box of SVDD
CsharpSVM
- 支持向量机的csharp代码 支持向量机广泛用于分类、预计等领域-Support Vector Machines Support Vector Machines csharp code is widely used in classification, is expected in areas such as
SupportVectorMachinesTextClassification
- 支持向量机(support vector machine)用来解决复杂的文本分类问题-support vector machine& text classification
work_for_pattern_recognition
- 通过设计线性分类器;最小风险贝叶斯分类器;监督学习法分层聚类分析;K-L变换提取有效特征,设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
SVM
- 支持向量机(SVM)实现的分类算法源码[matlab]-Support Vector Machine (SVM) classification algorithm to achieve source [matlab]
h
- 基于多类支持向量机的遥感图像分类及其半监督式改进策略-Based on multi-class support vector machines for remote sensing image classification and Semi-supervised Improvement Strategy
7788
- 大名鼎鼎的方帅的博士学位论文---目前,计算机智能视频监控在理论和应用上都面临着很多难题,国内外大批学者投身于该领域的研究和探索,并且取得了大量的成果.本文是在这些成果的基础上,对计算机智能视频监控系统的关键技术进行研究.主要贡献可概括如下:首先,对目标检测技术进行了研究,并提出了一种基于背景建模的运动目标检测算法.利用统计的方法建立了基于颜色和颜色梯度的背景模型,并实时地对背景模型进行更新,最后将这两种背景模型综合考虑对目标进行了有效的检测.接着,研究了复杂背景下多目标跟踪问题,提出了基于蒙特
461518386Yale_PCASVM
- 程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。-svm apply to fenlei
Ensemble
- 用adaboost算法生成基支持向量机分类器,并对识别结果进行简单投票法集成。附有支持向量机工具箱和adaboost算法流程说明。-Adaboost algorithm to generate the base with a support vector machine classifier, and the recognition result is a simple voting method integration. With support vector machine algorith
Pattern-recognition-and-SVMfunctions
- 模式识别分类支持向量机和和函数集,用于模式识别分类用。核函数很多-Pattern recognition and classification support vector machine and set of functions
MatlabLSSVM
- 支持向量机的多分类问题,主要是将其分成了5类-Support Vector Machine
sum1all
- 基于小波和支持向量机的电能质量监测分类算法例程-Based on wavelet and support vector machine classification algorithm routine power quality monitoring