咨询与建议

限定检索结果

文献类型

  • 1,249 篇 会议
  • 533 篇 期刊文献
  • 8 册 图书

馆藏范围

  • 1,790 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,170 篇 工学
    • 659 篇 计算机科学与技术...
    • 565 篇 软件工程
    • 249 篇 信息与通信工程
    • 179 篇 机械工程
    • 176 篇 控制科学与工程
    • 161 篇 光学工程
    • 134 篇 生物医学工程(可授...
    • 119 篇 生物工程
    • 111 篇 电子科学与技术(可...
    • 85 篇 电气工程
    • 77 篇 仪器科学与技术
    • 55 篇 化学工程与技术
    • 33 篇 交通运输工程
    • 26 篇 土木工程
    • 24 篇 建筑学
    • 20 篇 航空宇航科学与技...
    • 19 篇 力学(可授工学、理...
    • 18 篇 安全科学与工程
  • 631 篇 理学
    • 387 篇 数学
    • 214 篇 物理学
    • 136 篇 生物学
    • 117 篇 统计学(可授理学、...
    • 54 篇 化学
    • 47 篇 系统科学
  • 201 篇 管理学
    • 121 篇 管理科学与工程(可...
    • 91 篇 图书情报与档案管...
  • 85 篇 医学
    • 75 篇 临床医学
    • 57 篇 基础医学(可授医学...
    • 47 篇 药学(可授医学、理...
  • 21 篇 艺术学
    • 20 篇 设计学(可授艺术学...
  • 20 篇 法学
  • 12 篇 农学
  • 9 篇 经济学
  • 8 篇 军事学
  • 7 篇 教育学
  • 5 篇 文学
  • 1 篇 哲学
  • 1 篇 历史学

主题

  • 203 篇 pattern recognit...
  • 192 篇 image processing
  • 125 篇 image segmentati...
  • 108 篇 feature extracti...
  • 72 篇 computer vision
  • 68 篇 shape
  • 64 篇 image reconstruc...
  • 60 篇 support vector m...
  • 57 篇 robustness
  • 51 篇 cameras
  • 50 篇 image analysis
  • 43 篇 face recognition
  • 43 篇 principal compon...
  • 42 篇 image edge detec...
  • 40 篇 image recognitio...
  • 39 篇 humans
  • 38 篇 object detection
  • 36 篇 training
  • 34 篇 pixel
  • 34 篇 data mining

机构

  • 260 篇 institute of ima...
  • 241 篇 institute of ima...
  • 74 篇 image processing...
  • 44 篇 institute of ima...
  • 35 篇 institute of ima...
  • 30 篇 inst. of image p...
  • 25 篇 institute of ima...
  • 24 篇 institute of med...
  • 21 篇 institute of ima...
  • 21 篇 pattern recognit...
  • 21 篇 school of inform...
  • 17 篇 key laboratory o...
  • 17 篇 institute of ima...
  • 17 篇 institute of ima...
  • 15 篇 institute for pa...
  • 15 篇 school of softwa...
  • 15 篇 pattern recognit...
  • 13 篇 department of au...
  • 13 篇 school of comput...
  • 12 篇 key laboratory o...

作者

  • 197 篇 yang jie
  • 136 篇 jie yang
  • 65 篇 ping guo
  • 58 篇 yuncai liu
  • 52 篇 huang xiaolin
  • 46 篇 pengfei shi
  • 32 篇 kropatsch walter...
  • 31 篇 guo ping
  • 25 篇 qian yin
  • 25 篇 zhou yue
  • 21 篇 liu yuncai
  • 21 篇 shi pengfei
  • 20 篇 wang lisheng
  • 20 篇 杨杰
  • 19 篇 h. bischof
  • 19 篇 xin yang
  • 19 篇 mou xuanqin
  • 19 篇 hong-bin shen
  • 19 篇 liu jian
  • 18 篇 r. sablatnig

语言

  • 1,690 篇 英文
  • 75 篇 中文
  • 28 篇 其他
检索条件"机构=Pattern Recognition and Image Processing"
1790 条 记 录,以下是1661-1670 订阅
排序:
Epileptic EEG signal classification with marching pursuit based on harmony search method
Epileptic EEG signal classification with marching pursuit ba...
收藏 引用
IEEE International Conference on Systems, Man and Cybernetics
作者: Ping Guo Jing Wang X. Z. Gao Jarno M. A. Tanskanen Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China School of Foundational Education Peking University Health Science Center China Department of Automation and Systems Technology Aalto University School of Electrical Engineering Finland Department of Biomedical Engineering Tampere University of Technology Finland
In Epilepsy EEG signal classification, the main time-frequency features can be extracted by using sparse representation with marching pursuit (MP) algorithm. However, the computational burden is so heavy that it is al... 详细信息
来源: 评论
Pulsar candidate selection using ensemble networks for FAST drift-scan survey
arXiv
收藏 引用
arXiv 2019年
作者: Wang, Hongfeng Zhu, Weiwei Guo, Ping Li, Di Feng, Sibo Yin, Qian Miao, Chenchen Tao, Zhenzhao Pan, Zhichen Wang, Pei Zheng, Xin Deng, Xiaodan Liu, Zhijie Xie, Xiaoyao Yu, Xuhong You, Shanping Zhang, Hui Image Processing and Pattern Recognition Laboratory College of Information Science and Technology Beijing Normal University Beijing100875 China CAS Key Laboratory of FAST Chinese Academy of Science Beijing100101 China School of Information Management Dezhou University Dezhou253023 China Image Processing and Pattern Recognition Laboratory School of Systems Science Beijing Normal University Beijing100875 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Information and Computing Science Guizhou Province Guizhou Normal University Guiyang550001 China School of Physics and Electronic Science Guizhou Normal University Guiyang550001 China
The Commensal Radio Astronomy Five-hundred-meter Aperture Spherical radio Telescope (FAST) Survey (CRAFTS) utilizes the novel drift-scan commensal survey mode of FAST and can generate billions of pulsar candidate sign... 详细信息
来源: 评论
Handwritten Chinese character segmentation using a two-stage approach
Handwritten Chinese character segmentation using a two-stage...
收藏 引用
International Conference on Document Analysis and recognition
作者: Shuyan Zhao Zheru Chi Pengfei Shi Qing Wang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Centre for Multimedia Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong China Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong China Department of Computer Science and Engineering Northwestern Polytechnical University Xi'an China
Correct segmentation of handwritten Chinese characters is crucial to the successful recognition. However, because of the many difficulties involved, little work has been done in this area. In this paper, a two-stage a... 详细信息
来源: 评论
Computation of the folkman number Fv(3,5;6)
收藏 引用
Journal of Combinatorial Mathematics and Combinatorial Computing 2012年 81卷 11-17页
作者: Shao, Zehui Liang, Meilian Pan, Linqiang Xu, Xiaodong School of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing China School of Mathematics and Information Science Guangxi University Nanning 530004 China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Guangxi Academy of Sciences Nanning Guangxi 530007 China
We prove that Fv(3,5;6) = 16, which solves the smallest open case of vertex Folkman numbers of the form Fv(3,k;k + 1). The proof uses computer algorithms.
来源: 评论
Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification
Noise Perturbation Based Graph Contrastive Learning via Flex...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Zhilong Xiong Jia Cai Ranhui Yan Xiaolin Huang xFusion Digital Technologies Company Limited Shenzhen China School of Digital Economics Guangdong University of Finance & Economics Guangzhou China School of Statistics and Mathematics Guangdong University of Finance & Economics Guangzhou China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
Graph neural networks (GNNs), as a powerful deep learning framework for modeling graph-structured data, have attracted lots of attention recently. Most of existing GNNs need a lot of labeled data. However, constructin... 详细信息
来源: 评论
BREAK: BRONCHI RECONSTRUCTION BY GEODESIC TRANSFORMATION AND SKELETON EMBEDDING
arXiv
收藏 引用
arXiv 2022年
作者: Yu, Weihao Zheng, Hao Zhang, Minghui Zhang, Hanxiao Sun, Jiayuan Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China Department of Respiratory and Critical Care Medicine Department of Respiratory Endoscopy Shanghai Chest Hospital Shanghai Engineering Research Center of Respiratory Endoscopy China
Airway segmentation is critical for virtual bronchoscopy and computer-aided pulmonary disease analysis. In recent years, convolutional neural networks (CNNs) have been widely used to delineate the bronchial tree. Howe... 详细信息
来源: 评论
Optimal classification of epileptic EEG signals using neural networks and harmony search methods
Journal of Software
收藏 引用
Journal of Software 2014年 第1期9卷 230-239页
作者: Gao, Xiao-Zhi Wang, Jing Tanskanen, Jarno M. A. Bie, Rongfang Wang, Xiaolei Guo, Ping Zenger, Kai College of Information Engineering Shanghai Maritime University China Department of Automation and Systems Technology Aalto University School of Electrical Engineering Finland Laboratory of Image Processing and Pattern Recognition Beijing Normal University China Department of Biomedical Engineering Tampere University of Technology Finland School of Foundational Education Peking University Health Science Center China
In this paper, the Harmony Search (HS)-aided BP neural networks are used for the classification of the epileptic electroencephalogram (EEG) signals. It is well known that the gradient descent-based learning method can... 详细信息
来源: 评论
Unsupervised segmentation using cluster ensembles
Lecture Notes in Computer Science (including subseries Lectu...
收藏 引用
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8836卷 76-84页
作者: Zhang, Wei Yang, Jie Jia, Wenjing Kasabov, Nikola Jia, Zhenhong Zhou, Lei Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China School of Computing and Communications University of Technology Sydney United States Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand School of Information Science and Engineering Xinjiang University Urumqi China
We propose a novel framework for automatic image segmentation. In this approach, a mixture of several over-segmentation methods are used to produce superpixels and then aggregation is achieved using a cluster ensemble... 详细信息
来源: 评论
Online learning of multi-feature weights for robust object tracking
Online learning of multi-feature weights for robust object t...
收藏 引用
IEEE International Conference on image processing
作者: Tao Zhou Harish Bhaskar Kai Xie Jie Yang Xiangjian He Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Dept. of Elec. & Comp. Engg. Khalifa Univ. of Science Technology and Research Abu Dhabi U.A.E Faculty of Engineering and Information Technology University of Technology Sydney Australia
Sparse Representation based Classification (SRC) and its potential in object tracking have been explored in recent years. However, the trade-off between the discriminative ability of the overly emphasized sparse repre... 详细信息
来源: 评论
Learning data-adaptive nonparametric kernels
arXiv
收藏 引用
arXiv 2018年
作者: Liu, Fanghui Huang, Xiaolin Gong, Chen Yang, Jie Li, Li Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Department of Automation Tsinghua University
Kernel methods have been extensively used in a variety of machine learning tasks such as classification, clustering, and dimensionality reduction. For complicated practical tasks, the traditional kernels, e.g., Gaussi... 详细信息
来源: 评论