第2期 赵春晖，等：多类支持向量机方法的研究现状与分析 ·17 [10]PAUL G.Cox,Reza Adhami.Multi-class support vector [21]唐发明，王仲东，陈绵云.支持向量机多类分类算法研 machine classifier applied to hyper-spectral data [A ] 究0].控制与决策，2005,20(7)：746-749 Proceedings of the Thirty-Fourth Southeastern Sympo TANG Faming,WANG Zhongdong,CHEN Mianyun.On sium on System Theory [C].Huntsville,Alabama, multiclass classification methods for support vector machines 2002」 [J ]Control and Decision,2005,20(7)746-749. [11]FRANC V,HLAVAC V.Multi-class support vector [22]郑勇涛，刘玉树.支持向量机多分类问题研究J].计 machine [A].Proceedings of the 16th International 算机工程与应用，2005,41(23)：190-192 Conference on Pattern Recognition [C].Quebec City, ZHENG Yongtao,LIU Yushu.An analysis of multi- Canada2002 class support vector machines[J ]Computer Engineer- [12]L IN Chunfu,WAMG Shengde.Fuzzy support vector ing and Applications,2005,41(23):190-192 machines[J ]IEEE Transactions on Neural Networks, [23]祁亨年.支持向量机及其应用研究综述U].计算机工 2002,13(2):464-471. 程，2004,30(10)：6-9. [13]LI Kunlun,HUANG Houkuan,TIAN Shengfeng.A novel QI Hengnian.Support vector machines and application multiclass SVM classifier based on DDA G[A ]Proceedings research overview[J].Computer Engineering,2005,41 of the 2002 International Conference on Machine Learning (23):190.192 and Cybernetics[C].Beijing,China ,2002. [24]宋晓宁，束鑫.一种改进的模糊支持向量机的人脸识 [14 ARENAS-GARCIA J,PEREZ-CRUZ F.Multi-class 别方法U].微机发展，2005,15(3)：23.25. support vector machines:a new approach[A].Proceed- SONG Xiaoning,SHU Xin.An improved fuzzy support ings of the 2003 IEEE International Conference on A- vector machine and its application to face recognition[J]. coustics,Speech and Signal Processing [C].Hong Microcomputer Development,2005,15(3):23-25. Kong,China,2003. [25]刘江华，程君实，陈佳品.支持向量机训练算法综述 [15 ]L IU Yi,ZHENG Y F.One-against-all multi-Class SVM [U].信息与控制，2002,31(1)：45-50. classification using reliability measures[A].Proceed- LIU Jlanghua,CHENGJunshi,CHEN Jiapin.Support ings of the 2005 International Joint Conference on Neu- vector machine traning algorithm:a review [J].Infor- ral Networks[C].Montreal,Canada,2005. mation and Control,2002,31(1):45-50 [16]LU Baoliang,WANG Kaian,UTIYAMA M.A part- [26]张学工.关于统计学习理论与支持向量机0].自动化 versuspart method for massively parallel training of 学报，2000,26(1)：32.42 support vector machines[A].Proceedings of the 2004 ZHANG Xuegong.Introduction to statistical learning International Joint Conference on Neural Networks[C]. theory and support vector machines[J].Acta Automati- Budapest,Hungary,2004. ca Sinica,2000,26(1):32-42. [17]XIN Dong,WU Zhaohui,PAN Yunhe.A new multi- 作者简介： class support vector machines [A ]IEEE International 赵春晖，男，1965年生，博士，教授 Conference on Systems,Man and Cybernetics[C].Tuc- 博士生导师，主要研究方向为智能信息处 s0n,USA,2001. 理技术、图像处理.获省部级科技进步奖 [18]童学锋，石繁槐.FSVM在有限集脱机手写体汉字识 5项，发表论文180多篇，出版著作3部. 别中的应用U].计算机工程，2003,29(3)：109.111. Email zhaochunhui @hrbeu.edu.cn. TONG Xuefeng,SHI Fanhuai.Application Of FSVM for limited-set off-line handwritten chinese characters recognition[J ]Computer Engineering,2003,29(3): 陈万海，男，1963年生副教授，信号 109.111. 与信息处理专业博士研究生，主要研究 [19]李昆仑，黄厚宽，田盛丰.一种基于有向无环图的多类 方向为超光谱遥感图像处理技术，发表 SVM分类器D].模式识别与人工智能，2003,16(2)： 论文8篇 164-168. LI Kunlun,HUANG Houkuan,TIAN Shengfeng.A novel multi-class SVM classifier based on DDAG[J ] Pattern Recognition and Artificial Intelligence,2003,16 (2):164-168. 郭春燕，女，1984年生，硕士研究 [20]安金龙，王正欧，马振平.一种新的支持向量机多类分 生，主要研究方向为超光谱遥感图像处 类方法U].信息与控制，2004,33(3)：262-267. 理技术、目标分类 AN Jinlong,WANG Zhengou,MA Zhenping.A new SVM multiclass classification method [J ]Information and Control,2004,33(3):262.267 1994-2008 China Academie Journal Electronic Publishing House.All rights reserved.http://www.cnki.net[10 ] PAUL G. Cox ,Reza Adhami. Multi2class support vector machine classifier applied to hyper2spectral data [ A ]. Proceedings of the Thirty2Fourth Southeastern Sympo2 sium on System Theory [ C ]. Huntsville , Alabama , 2002. [11 ] FRANC V , HLAVAC V. Multi2class support vector machine [ A ]. Proceedings of the 16th International Conference on Pattern Recognition [ C ]. Quebec City , Canada ,2002. [12 ] L IN Chunfu , WAM G Shengde. Fuzzy support vector machines[J ]. IEEE Transactions on Neural Networks , 2002 , 13 (2) :464 - 471. [13 ]LI Kunlun , HUANG Houkuan , TIAN Shengfeng. A novel multi2class SVM classifier based on DDAG[A]. Proceedings of the 2002 International Conference on Machine Learning and Cybernetics[C].Beijing , China ,2002. [ 14 ] ARENAS2GARCIA J , PEREZ2CRUZ F. Multi2class support vector machines: a new approach[ A ]. Proceed2 ings of the 2003 IEEE International Conference on A2 coustics , Speech and Signal Processing [ C ]. Hong Kong ,China ,2003. [15 ]L IU Yi ,ZHEN G Y F. One2against2all multi2Class SVM classification using reliability measures [ A ]. Proceed2 ings of the 2005 International Joint Conference on Neu2 ral Networks[C]. Montreal , Canada ,2005. [16 ]LU Baoliang , WAN G Kaian , U TIYAMA M. A part2 versus2part method for massively parallel training of support vector machines[ A ]. Proceedings of the 2004 International Joint Conference on Neural Networks[C]. Budapest , Hungary ,2004. [17 ] XIN Dong , WU Zhaohui , PAN Yunhe. A new multi2 class support vector machines[ A ]. IEEE International Conference on Systems , Man and Cybernetics[C]. Tuc2 son , USA ,2001. [18 ]童学锋 , 石繁槐. FSVM 在有限集脱机手写体汉字识 别中的应用[J ]. 计算机工程 , 2003 , 29 (3) : 109 - 111. TON G Xuefeng , SHI Fanhuai. Application 0f FSVM for limited2set off2line handwritten chinese characters recognition[J ]. Computer Engineering , 2003 , 29 (3) : 109 - 111. [19 ]李昆仑 , 黄厚宽 , 田盛丰. 一种基于有向无环图的多类 SVM 分类器[J ]. 模式识别与人工智能 , 2003 , 16 (2) : 164 - 168. L I Kunlun , HUAN G Houkuan , TIAN Shengfeng. A novel multi2class SVM classifier based on DDA G[J ]. Pattern Recognition and Artificial Intelligence , 2003 , 16 (2) : 164 - 168. [20 ]安金龙 , 王正欧 , 马振平. 一种新的支持向量机多类分 类方法[J ]. 信息与控制 , 2004 , 33 (3) : 262 - 267. AN Jin1ong , WAN G Zhengou , MA Zhenping. A new SVM multiclass classification method [J ]. Information and Control , 2004 , 33 (3) : 262 - 267. [21 ]唐发明 , 王仲东 , 陈绵云. 支持向量机多类分类算法研 究[J ]. 控制与决策 , 2005 , 20 (7) : 746 - 749. TANG Faming , WANG Zhongdong , CHEN Mianyun. On multiclass classification methods for support vector machines [J ]. Control and Decision , 2005 , 20(7) : 746 - 749. [22 ]郑勇涛 , 刘玉树. 支持向量机多分类问题研究[J ]. 计 算机工程与应用 , 2005 , 41 (23) : 190 - 192. ZHEN G Yongtao , L IU Yushu. An analysis of multi2 class support vector machines[J ]. Computer Engineer2 ing and Applications , 2005 , 41 (23) : 190 - 192. [23 ]祁亨年. 支持向量机及其应用研究综述[J ]. 计算机工 程 , 2004 , 30 (10) : 6 - 9. QI Hengnian. Support vector machines and application research overview[J ]. Computer Engineering , 2005 , 41 (23) : 190 - 192. [ 24 ]宋晓宁 , 束 鑫. 一种改进的模糊支持向量机的人脸识 别方法[J ]. 微机发展 , 2005 , 15 (3) : 23 - 25. SONG Xiaoning , SHU Xin. An improved fuzzy support vector machine and its application to face recognition [J ]. Microcomputer Development , 2005 , 15 (3) : 23 - 25. [25 ]刘江华 , 程君实 , 陈佳品. 支持向量机训练算法综述 [J ]. 信息与控制 , 2002 , 31 (1) : 45 - 50. L IU J Ianghua , CHEN GJ unshi , CHEN Jiapin. Support vector machine traning algorithm : a review [J ]. Infor2 mation and Control , 2002 , 31 (1) : 45 - 50. [26 ]张学工. 关于统计学习理论与支持向量机[J ]. 自动化 学报 , 2000 , 26 (1) : 32 - 42. ZHAN G Xuegong. Introduction to statistical learning theory and support vector machines[J ]. Acta Automati2 ca Sinica , 2000 , 26 (1) : 32 - 42. 作者简介 : 赵春晖 ,男 ,1965 年生 ,博士 ,教授 , 博士生导师 ,主要研究方向为智能信息处 理技术、图像处理. 获省部级科技进步奖 5 项 ,发表论文 180 多篇 ,出版著作 3 部. E2mail :zhaochunhui @hrbeu. edu. cn. 陈万海 ,男 ,1963 年生 ,副教授 ,信号 与信息处理专业博士研究生 ,主要研究 方向为超光谱遥感图像处理技术 ,发表 论文 8 篇. 郭春燕 ,女 , 1984 年生 , 硕士研究 生 ,主要研究方向为超光谱遥感图像处 理技术、目标分类. 第 2 期 赵春晖 ,等 :多类支持向量机方法的研究现状与分析 · 71 ·