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检索条件"机构=Processing and Pattern Recognition Laboratory"
773 条 记 录,以下是301-310 订阅
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Research on DNA sequence homology based on second order Markov model
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Journal of Fiber Bioengineering and Informatics 2015年 第3期8卷 539-546页
作者: Zhang, Junyan Yang, Chenhui College of Computer Science Chengdu University Chengdu China Key Laboratory of Pattern Recognition and Intelligent Information Processing of Sichuan Chengdu University Chengdu China
DNA sequence homology is a critical and fundamental problem in bioinformatics. In this paper, we solve this problem by use of the second order Markov modal instead of traditional sequence alignment because DNA charact... 详细信息
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An improved K-OPT local search algorithm for the vertex separator problem
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Journal of Computational and Theoretical Nanoscience 2015年 第11期12卷 4942-4958页
作者: Zhang, Zhiqiang Shao, Zehui Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province China School of Computer Science Chengdu University Chengdu610106 China
A vertex separator in an undirected graph is a subset of the vertices, whose removal disconnects the graph in at least two nonempty connected components. Given a connected undirected graph G = (V ,E) with |V| = n, an ... 详细信息
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Theory of ϕ-Jensen variance and its applications in higher education
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Journal of Inequalities and Applications 2015年 第1期2015卷 1-40页
作者: Wen, JiaJin Huang, Yi Cheng, Sui Sun Institute of Mathematical Inequalities and Applications College of Mathematics and Computer Science Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing of Higher Education Institutions of Sichuan Province College of Mathematics and Computer Science Chengdu University Chengdu 610106 China Department of Mathematics Tsing Hua University Hsinchu 30043 Taiwan
This paper introduces the theory of ϕ-Jensen variance. Our main motivation is to extend the connotation of the analysis of variance and facilitate its applications in probability, statistics and higher education. To t... 详细信息
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Blind source separation with evolution based KICA
Blind source separation with evolution based KICA
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Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)
作者: Peng Wu Qian Yin Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan China
Kernel independent component analysis (KICA) has been widely used in the field of blind source separation. The selection of kernel function and its parameters plays an important role in KICA algorithm performance. An ... 详细信息
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A New Method for recognition Partially Occluded Curved Objects under Affine Transformation
A New Method for Recognition Partially Occluded Curved Objec...
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International Conference on Intelligent System and Knowledge Engineering, ISKE
作者: GuiMei Zhang JiYuan Xu JianXin Liu Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Jiangxi Province China School of Mechanical Engineering and Automation Xihua University Chengdu Sichuan China
A new method dealing with recognition of partially occluded and affine distortion objects is presented. The method is designed for objects with smooth curved boundary. It divides an object into affine-invariant parts ... 详细信息
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Detection Level of Apple Based on BP Neural Network
Detection Level of Apple Based on BP Neural Network
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International Conference on Information Sciences,Machinery,Materials and Energy(ICISMME 2015)
作者: Xiaoling LI Jimin YUAN School of Computer Science and Technology Chengdu University University Key Laboratory of Pattern Recognition and Intelligent information Processing The Department Computer Engineering Chengdu Aeronautic Vocational and Technical College
In view of the draw backs of apple grade identification in China,which still relies on photoelectric sorting and manual separation,this paper presents a processing method on the basis of the technology of computer vis... 详细信息
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Improved global optical flow estimation with mean shift algorithm for target detection
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International Journal of Wireless and Mobile Computing 2015年 第4期8卷 323-328页
作者: Wang, Zhonghua Li, Chunyong Liu, Qingping Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang Jiangxi Province330063 China School of Information and Engineering Nanchang Hangkong University Nanchang Jiangxi Province330063 China
In view of the problem that the global optical flow algorithm cannot acquire accurate motion parameter estimation at a low-gradient value, an improved method has been presented in order to enhance the self-adaptive ab... 详细信息
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Corrigendum to ‘Modeling the packing coloring problem of graphs’ [Appl. Math. Model. 39 (2015) 3588–3595]
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Applied Mathematical Modelling 2016年 第2期40卷 1683-1683页
作者: Zehui Shao Aleksander Vesel School of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province China Faculty of Natural Sciences and Mathematics University of Maribor Maribor Slovenia
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Motion estimation and spatial-temporal filter-based infrared small target detection algorithm
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International Journal of Wireless and Mobile Computing 2015年 第3期8卷 256-261页
作者: Wang, Zhonghua Liao, Yuan Liu, Qingping Li, Chunyong School of Information and Engineering Nanchang Hangkong University Nanchang Jiangxi Province330063 China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang Jiangxi Province330063 China Department of Information Engineering Nanchang Hangkong University Nanchang330063 China
Under the effect of solar variation, atmospheric attenuation and thermal radiation distribution, the grey value of interference source is close to or equal to the target grey value. With the distance between the imagi... 详细信息
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Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition
Shape driven kernel adaptation in Convolutional Neural Netwo...
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Conference on Computer Vision and pattern recognition (CVPR)
作者: Shaoxin Li Junliang Xing Zhiheng Niu Shiguang Shan Shuicheng Yan Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China
One key challenge of facial trait recognition is the large non-rigid appearance variations due to some irrelevant real world factors, such as viewpoint and expression changes. In this paper, we explore how the shape i... 详细信息
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