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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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【Citations】
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
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 YUAN Hong;WANG Bo;WANG Li;XU Mu-xun;National Laboratory of Human Factors Engineering,China Astronaut Research and Training Center;Department of Industrial Design,Xi'an Jiaotong University;;Emotional classification and prediction of body movements based on silhouette[J];浙江大学学报(工学版);2018-01
2 ZHANG Shu-ya;WU Ke-yan;HUANG Yan-zi;LIU Shou-yin;College of Physical Science and Technology,Central China Normal University;;Fall Detection Algorithm Based on SVM_KNN[J];计算机与现代化;2017-12
3 ZHAO Shutao;WANG Yaxiao;SUN Huiwei;WEI Yao;School of Electrical and Electronic Engineering, North China Electric Power University;;Research of Circuit Breaker Fault Recognition Method Based on Adaptive Weighted of Evidence Theory[J];中国电机工程学报;2017-23
4 CHEN Shaozhen;CHEN Yong;NIE Erbao;State Grid Electronic Commercial Co.,LTD.;Beijing HuiTong Financial Information Technology Co.,LTD.;;Research on Hierarchical Classification Analysis-based Credit Rating[J];征信;2017-11
5 Li Yangyang;Sun Yuan;Wang Guoqing;Li Zhenxing;Yu Wenhao;College of Material and Chemical Engineering,Zhengzhou University of Light Industry;Ollaborative Innovation Center of Environmental Pollution Control and Ecological Restoration Henan Province,Zhengzhou University of Light Industry;;Determination of Ligustrum Leaf Water Content Based on Hyperspectral[J];河南师范大学学报(自然科学版);2017-06
6 HU Xiaoyan;SONG Haiyan;College of Engineering,Shanxi Agricultural University;;Soil Texture Classification Based on Support Vector Machine and Near Infrared Spectral Characteristics[J];山西农业科学;2017-10
7 TAN Yong-mei;WANG Min-da;NIU Shao-zhang;School of Computer Science,Beijing University of Posts and Telecommunications;;Chinese Textual Entailment Recognition Via Ordered Word Mover Distance[J];北京邮电大学学报;2017-05
8 SHANG Yuwei;MA Zhao;PENG Chenyang;WU Haitao;China Electric Power Research Institute;North China Electric Power University;Zhejiang Tmall Technology Co.,LTD;;Study of a Novel Machine Learning Method Embedding Expertise Part Ⅰ:Proposals and Fundamentals of Guiding Learning[J];中国电机工程学报;2017-19
9 YAO Xuejiao;CAI Ming;Shenzhen Urban Transport Planning Center;Engineering College, Zhongshan University;;Study on Traffic Condition Discrimination based on Vehicle Audio Signals[J];中国公共安全(学术版);2017-03
10 WU Qingwei;WANG Jinlong;ZHANG Pin;China Special Equipment Inspection and Research Institute;;Prediction of Oil Pipeline Internal Corrosion Rate Based on FOA-SVM model[J];腐蚀与防护;2017-09
【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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