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《Computer Development & Applications》 2005-11
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Research on Texture Recognition based on Support Vector Machine

Liu Mingxia et al  
Support Vector Machine(SVM)is a modelclassification machine based on theories of static learning.It can automatically find out support vectors that have better calssification ability through the risk minimization principle and kernel function.So the classification machine can maximize the interval of each genus and have higher accuracy.Texture recognition can be regarded as an impending problem among different textures and their characteristics.This paper applies SVM to texture recognition and classification.Compared to the BP nerve network,much more ideal results are acquired through experiment.
【CateGory Index】: TP391.4
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Chinese Journal Full-text Database 1 Hits
1 ZHANG Xuegong (Dept.of Automation,Tsinghua University,Beijing 100084) (State Key Laboratory of Intelligent Technology and Systems of China);INTRODUCTION TO STATISTICAL LEARNING THEORY AND SUPPORT VECTOR MACHINES[J];自动化学报;2000-01
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【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 LU Zengxiang, LI Yanda Department of Automation, Tsinghua University, Beijing 100084, China;Interactive support vector machine learning algorithm and its application[J];清华大学学报(自然科学版);1999-07
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