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检索条件"机构=Key Laboratory of Image Processing and Pattern Recognition"
844 条 记 录,以下是361-370 订阅
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A comparative study of different feature mapping methods for image annotation
A comparative study of different feature mapping methods for...
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International Workshop on Advanced Computational Intelligence (IWACI)
作者: Yiren Wang Hassan Dawood Qian Yin Ping Guo the Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China the Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Computer Science Department Beijing Normal University Beijing China
Automatic image annotation and tagging is necessary for indexing and searching of images using querying a text. It is widely used in search engines like Google, Yahoo, Baidu, etc. Fast image Tagging (FastTag) algorith... 详细信息
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Combining local binary patterns for scene recognition
Journal of Software
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Journal of Software 2014年 第1期9卷 203-210页
作者: Song, Minguang Guo, Ping Image Processing Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China
Recently, spatial principal component analysis of census transform histograms (PACT) was proposed to recognize instance and categories of places or scenes in an image. An improved representation called Local Differenc... 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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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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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 image fusion method of multi-scale image based on HMM and genetic algorithms
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Journal of Computational Information Systems 2015年 第12期11卷 4367-4374页
作者: Jiang, Zetao Wu, Donghui The Institute of Computer Science and Engineering Guilin University of Electronic Technology Guilin China The Key Lab of Image Processing and Pattern Recognition of Jiangxi Province Nanchang Hangkong University Nanchang China
At present, in the field of pixel-level image fusion, researchers tend to treat each pixel independently, which destroys the relationship between the images to be fused. In view of this defects, this paper aims to pro... 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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Noise reduction based on robust principal component analysis
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Journal of Computational Information Systems 2014年 第10期10卷 4403-4410页
作者: Sun, Chengli Zhang, Qin Wang, Jian Xie, Jianxiao Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang 330063 China School of Information Nanchang Hangkong University Nanchang 330063 China
In this paper, we present a new speech enhancement method based on robust principal component analysis. In the proposed method, noisy signal is transformed into time-frequency domain where background noise is assumed ... 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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