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Chengan Guo
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Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Paper Publications
[61]Zhu, Xiaodan, Guo, Chengan.Parallel Algorithms for a Neurodynamic Optimization System Realized on GPU and Applied to Recov...[A],2015,2015-September
[62]Guo, Chengan, Yang, Qingshan, CG (reprint author), Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116023, Peoples R China..A Neurodynamic Optimization Method for Recovery of Compressive Sensed Signals With Globally Con...[J],IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2015,26(7):1363-1374
[63]De, Ailing, Guo, Chengan, CG (reprint author), Dalian Univ Technol, Sch Informat & Commun Engn, Dalian, Peoples R China..An adaptive vector quantization approach for image segmentation based on SOM network[J],NEUROCOMPUTING,2015,149(Part A):48-58
[64]德爱玲, 郭成安.基于矢量量化的三维图像自适应分割方法及其应用[J],光学学报,2015,35(10):1001002
[65]De, Ailing, Guo, Chengan, AL (reprint author), Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116023, Peoples R China..An image segmentation method based on the fusion of vector quantization and edge detection with...[J],INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2014,5(4):543-551
[66]赵泰洋, 郭成安, Zhao, T., Faculty of Electronic, Electrical Engineering, Dalian University of Technology, Dalian, 116024, China, email: taiyang@dlut.edu.cn.基于接收信号强度的非视距检测与修正算法[J],数据采集与处理,2014,29(3):397-402
[67]De, Ailing, Zhang, Yuan, Guo, Chengan.A Parallel Image Segmentation Method Based on SOM and GPU with Application to MRI Image Process...[A],2014,8866:637-646
[68]De A., Guo C..A vector quantization approach for image segmentation based on SOM neural network[A],2013,7951 LNCS(PART 1):612-619
[69]Wang, Jing, Guo, Chengan.Face Recognition based on Sparse Representation and Error Correction SVM[A],2012
[70]Yang Q., Guo C., Guo, C., School of Information, Communication Engineering, Dalian University of Technology, Dalian, China, email: cguo@dlut.edu.cn.Fuzzy ensemble of local gabor sparse representation classifiers for face recognition[J],Advances in Information Sciences and Service Sciences,2011,3(10):345-354
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