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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
294 条 记 录,以下是171-180 订阅
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GEMI: A high performance and high flexibility memory interface architecture for complex embedded SOC
GEMI: A high performance and high flexibility memory interfa...
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International Conference on computer science and Software Engineering, CSSE 2008
作者: Hualong, Zhao Hongshi, Sang Tianxu, Zhang Yebin, Fan State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China
Two of the most significant factors in the success of today's system-on-chip (SoC) designs are the ability to deliver efficient access to off-chip high speed memory and the ability to be compatible with several di... 详细信息
来源: 评论
MLPP: A modified version of locality preserving projection
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Journal of Computational Information Systems 2008年 第5期4卷 1891-1896页
作者: Zheng, Zhonglong Zhang, Haoran Yang, Fa Yang, Jie Department of Computer Science Zhejiang Normal University Jinhua 321004 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China
Locality Preserving Projection (LPP), as a linear manifold learning algorithm, has attracted much interests in recent years. LPP considers an n1× n2image as a vector in €n1×n2space, and thus is limited by th... 详细信息
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Needle segmentation using 3D quick randomized hough transform
Needle segmentation using 3D quick randomized hough transfor...
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1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008
作者: Qiu, Wu Ding, Mingyue Yuchi, Ming Institute for Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei China Department of Biomedical Engineering School of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei China
A quick 3D needle segmentation algorithm for 3D US data is described in this paper. The algorithm includes the 3D Quick Randomized Hough Transform (3DGHT), which is based on the 3D Randomized Hough Transform and coars... 详细信息
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SVM based ASM for facial landmarks location
SVM based ASM for facial landmarks location
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8th IEEE International Conference on computer and Information Technology (CIT 2008), vol.1
作者: Chunhua Du Qiang Wu Jie Yang Zheng Wu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Computer Systems University of Technology Sydney Australia
Finding a new position for each landmark is a crucial step in active shape model (ASM). Mahalanobis distance minimization is used for this finding, provided there are enough training data such that the grey-level prof... 详细信息
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Ant Colony Optimization Algorithm for Feature Selection and Classification of Multispectral Remote Sensing image
Ant Colony Optimization Algorithm for Feature Selection and ...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Lintao Wen Qian Yin Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China
In classification of a multispectral remote sensing image, it is usually difficult to obtain higher classification accuracy if we only consider the image's spectral feature or texture feature alone. In this paper,... 详细信息
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Extraction of complex wavelet features for iris recognition
Extraction of complex wavelet features for iris recognition
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International Conference on pattern recognition
作者: Xiaofu He Pengfei Shi Department of Computer Science and Technology East China Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shandong Jiaotong University Shanghai China
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transformpsilas properties of multiresolution decomposition... 详细信息
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Experimental Study of Discriminant Method with Application to Fault-Prone Module Detection
Experimental Study of Discriminant Method with Application t...
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International Conference on Computational Intelligence and Security
作者: Gege Guo Ping Guo School of Computer Science and Technology Beijing Institute of Technology Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Some techniques have been applied to improving software quality by classifying the software modules into fault-prone or non fault-prone categories. This can help developers focus on some high risk fault-prone modules.... 详细信息
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Comparison of discriminant analysis methods applied to diffractive optically variable image
Comparison of discriminant analysis methods applied to diffr...
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IEEE International Workshop on Anti-counterfeiting, Security, Identification, ASID
作者: Rukun Hu Youji Feng Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China The School of Computer Science and Technology Beijing Institute of Technology Beijing China
As a kind of powerful anti-counterfeiting device, diffractive optically variable image (DOVI) has been developed and widely used in information security field. However, the identification of DOVI today by bare eyes is... 详细信息
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Software quality prediction using Affinity Propagation algorithm
Software quality prediction using Affinity Propagation algor...
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International Joint Conference on Neural Networks (IJCNN)
作者: Bingbing Yang Qian Yin Shengyong Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Laboratory of Computer Science Institute of Software Chinese Academy and Sciences Beijing China
Software metrics are collected at various phases of the software development process. These metrics contain the information of the software and can be used to predict software quality in the early stage of software li... 详细信息
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Voronoi-Based Sleeping Configuration in Wireless Sensor Networks with Location Error
Voronoi-Based Sleeping Configuration in Wireless Sensor Netw...
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IEEE International Conference on Networking, Sensing and Control
作者: Xinyu Chen Michael R. Lyu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Department of Computer Science and Engineering Chinese University of Hong Kong Sha Tin Hong Kong China
In wireless sensor networks, to obtain a long network lifetime is a fundamental issue while without sacrificing crucial aspects of quality of service (area coverage, sensing reliability, and network connectivity). In ... 详细信息
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