A Practical Guide to Support Vector Classification

• A Practical Guide to Support Vector Classification

  APracticalGuidetoSupportVectorClassi cationChih-WeiHsu,Chih-ChungChang,andChih-JenLinDepartmentofComputerScienceNationalTaiwanUniversity,Taipei106,Taiwanhttp://www.csie.ntu.edu.tw/~cjlinInitialversion...

• Laplacian Twin Support Vector Machine for Semi-supervised Classification

  LaplacianTwinSupportVectorMachineforSemi-supervisedClassi cationZhiquanQia,YingjieTiana, ,YongShia,b, aResearchCenteronFictitiousEconomy&DataScience,ChineseAcademyofSciences,Beijing100190,ChinabCo...

• SVMC Single-Class Classification With Support Vector Machines

  SVMC: Single-Class Classification With Support Vector MachinesH wan jo YuDepartment of Computer ScienceUniversity of Illinois at Urbana-ChampaignUrbana,IL 61801 USA hwanjoyu@uiuc.eduAbstractSingle-Cla...

• Laplacian twin support vector machine for semi-supervised classification

  NeuralNetworks35(2012)46–53ContentslistsavailableatSciVerseScienceDirectNeuralNetworksjournalhomepage:www.elsevier.com/locate/neunetLaplaciantwinsupportvectormachineforsemi-supervisedclassificationZhi...

• Product-image classification with support vector machine

  Product-image classification with support vector machine 1School of Electronic and Information 2 Faculty of Electronic Information & Electrical EngineeringDalian Jiaotong University ...

• Hybrid Support Vector Machines-Based Multi-fault Classification

  维普资讯 http://www.cqvip.comJun l f o r a i aUn v r i fM i i g& T c n l g o Ch n i e st o n n y e h oo yVO _7 NO 2 ll .A al l o l ea wwwsin e i c. m v i be ni a n t . e c dr t o c e c sc… c...

• Support Vector MachinesSupport Vector Machines

  Support Vector Machinesa brief introduction刘志强Zhi-QiangLIUsmzliu@cityu.edu.hkCenter for Media TechnologyCity University of Hong KongHong Kong, SAR, CHINAMonday, June 06, 2005

• Vehicle Classification with Confidence by Classified Vector Quantization

  attracted an enormous amount of attention due to its vast potential for a wide range of applications [1–2]. By monitoring roadside images, various traffic infor-or traffic videos are also important in...

• Lecture 4 Support Vector Machines

  Pattern Recognition Lecture 4 Support Vector Machines Mar. 31th, 2010