咨询与建议

限定检索结果

文献类型

  • 252 篇 会议
  • 130 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 385 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 246 篇 工学
    • 148 篇 计算机科学与技术...
    • 130 篇 软件工程
    • 60 篇 信息与通信工程
    • 53 篇 光学工程
    • 51 篇 生物医学工程(可授...
    • 38 篇 生物工程
    • 35 篇 控制科学与工程
    • 30 篇 机械工程
    • 28 篇 电气工程
    • 26 篇 电子科学与技术(可...
    • 13 篇 仪器科学与技术
    • 11 篇 化学工程与技术
    • 7 篇 交通运输工程
    • 7 篇 安全科学与工程
    • 5 篇 力学(可授工学、理...
    • 5 篇 材料科学与工程(可...
  • 137 篇 理学
    • 82 篇 数学
    • 46 篇 物理学
    • 44 篇 生物学
    • 31 篇 统计学(可授理学、...
    • 13 篇 化学
    • 8 篇 系统科学
  • 39 篇 医学
    • 34 篇 临床医学
    • 27 篇 基础医学(可授医学...
    • 22 篇 药学(可授医学、理...
    • 5 篇 医学技术(可授医学...
  • 33 篇 管理学
    • 21 篇 图书情报与档案管...
    • 16 篇 管理科学与工程(可...
    • 6 篇 工商管理
  • 5 篇 艺术学
    • 5 篇 设计学(可授艺术学...
  • 4 篇 农学
  • 3 篇 法学
  • 3 篇 教育学
  • 2 篇 经济学
  • 2 篇 军事学
  • 1 篇 哲学

主题

  • 42 篇 pattern recognit...
  • 40 篇 image processing
  • 25 篇 image segmentati...
  • 18 篇 feature extracti...
  • 14 篇 computer vision
  • 14 篇 image reconstruc...
  • 13 篇 image recognitio...
  • 12 篇 computer science
  • 12 篇 biomedical imagi...
  • 12 篇 robustness
  • 11 篇 object detection
  • 11 篇 image edge detec...
  • 11 篇 image analysis
  • 10 篇 laboratories
  • 10 篇 shape
  • 9 篇 support vector m...
  • 9 篇 cameras
  • 9 篇 visualization
  • 8 篇 neural networks
  • 8 篇 training

机构

  • 43 篇 institute of ima...
  • 38 篇 institute of ima...
  • 25 篇 institute of ima...
  • 13 篇 department of au...
  • 9 篇 institute of med...
  • 8 篇 department of si...
  • 6 篇 pattern recognit...
  • 6 篇 institute of ima...
  • 5 篇 pattern recognit...
  • 5 篇 the institute of...
  • 5 篇 department for p...
  • 4 篇 department of ul...
  • 4 篇 ieee
  • 4 篇 laboratory of im...
  • 4 篇 institute of ima...
  • 4 篇 pattern recognit...
  • 4 篇 centre for image...
  • 4 篇 department of si...
  • 3 篇 department of au...
  • 3 篇 school of comput...

作者

  • 42 篇 yang jie
  • 18 篇 wang lisheng
  • 18 篇 huang xiaolin
  • 17 篇 jie yang
  • 11 篇 pengfei shi
  • 10 篇 h. bischof
  • 10 篇 yuncai liu
  • 10 篇 chen huai
  • 9 篇 yang yang
  • 9 篇 lisheng wang
  • 9 篇 sergiu nedevschi
  • 8 篇 burkhardt hans
  • 8 篇 liu wei
  • 7 篇 keren fu
  • 6 篇 chen gong
  • 6 篇 w.g. kropatsch
  • 6 篇 bischof horst
  • 6 篇 hong-bin shen
  • 6 篇 ping guo
  • 6 篇 irene y.h. gu

语言

  • 375 篇 英文
  • 6 篇 其他
  • 4 篇 中文
检索条件"机构=Department of Pattern Recognition and Image Processing"
385 条 记 录,以下是111-120 订阅
排序:
Author Correction: Microridge-like structures anchor motile cilia
收藏 引用
Nature communications 2024年 第1期15卷 8252页
作者: Takayuki Yasunaga Johannes Wiegel Max D Bergen Martin Helmstädter Daniel Epting Andrea Paolini Özgün Çiçek Gerald Radziwill Christina Engel Thomas Brox Olaf Ronneberger Peter Walentek Maximilian H Ulbrich Gerd Walz Department of Medicine IV University Freiburg Medical Center Faculty of Medicine University of Freiburg Hugstetter Strasse 55 79106 Freiburg Germany. Faculty of Biology University of Freiburg Schaenzlestrasse 1 79104 Freiburg Germany. Pattern Recognition and Image Processing Department of Computer Science University of Freiburg Georges-Köhler-Allee 52 79110 Freiburg Germany. BIOSS Centre for Biological Signalling Studies University of Freiburg Schänzlestrasse 18 79104 Freiburg Germany. CIBSS Centre for Integrative Biological Signalling Studies University of Freiburg Schänzlestrasse 18 79104 Freiburg Germany. Department of Medicine IV University Freiburg Medical Center Faculty of Medicine University of Freiburg Hugstetter Strasse 55 79106 Freiburg Germany. gerd.walz@uniklinik-freiburg.de. BIOSS Centre for Biological Signalling Studies University of Freiburg Schänzlestrasse 18 79104 Freiburg Germany. gerd.walz@uniklinik-freiburg.de. CIBSS Centre for Integrative Biological Signalling Studies University of Freiburg Schänzlestrasse 18 79104 Freiburg Germany. gerd.walz@uniklinik-freiburg.de.
来源: 评论
Face recognition with Convolutional Neural Networks and subspace learning  2
Face Recognition with Convolutional Neural Networks and subs...
收藏 引用
2nd International Conference on image, Vision and Computing, ICIVC 2017
作者: Wan, Lihong Liu, Na Huo, Hong Tao, Fang Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China
Deep learning is widely used in computer vision. In this study, we present a new method based on Convolutional Neural Networks (CNN) and subspace learning for face recognition under two circumstances. A very deep CNN ... 详细信息
来源: 评论
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
arXiv
收藏 引用
arXiv 2018年
作者: Chen, Huai Qi, Yuxiao Yin, Yong Li, Tengxiang Liu, Xiaoqing Li, Xiuli Gong, Guanzhong Wang, Lisheng Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai200240 China Shandong Cancer Hospital Affiliated to Shandong University Jinan250117 China Deepwise AI Lab China
Segmentation of nasopharyngeal carcinoma (NPC) from Magnetic Resonance images (MRI) is a crucial prerequisite for NPC radiotherapy. However, manually segmenting of NPC is time-consuming and labor-intensive. Additional... 详细信息
来源: 评论
An image encryption scheme based on three-dimensional Brownian motion and chaotic system
收藏 引用
Chinese Physics B 2017年 第2期26卷 99-113页
作者: Xiu-Li Chai Zhi-Hua Gan Ke Yuan l Yang Lu Yi-Ran Chen School of Computer and Information Engineering Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA 15261 USA School of Software Henan University Kaifeng 475004 China Research Dep' ~tment Henan University Kaifeng 475004 China
At present, many chaos-based image encryption algorithms have proved to be unsafe, few encryption schemes permute the plain images as three-dimensional(3D) bit matrices, and thus bits cannot move to any position, th... 详细信息
来源: 评论
Correction to: Automatic identification of myopic maculopathy related imaging features in optic disc region via machine learning methods
收藏 引用
Journal of translational medicine 2021年 第1期19卷 203页
作者: Yuchen Du Qiuying Chen Ying Fan Jianfeng Zhu Jiangnan He Haidong Zou Dazhen Sun Bowen Xin David Feng Michael Fulham Xiuying Wang Lisheng Wang Xun Xu Department of Automation The Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University (SJTU) 800 Dongchuan RD. Minhang District Shanghai 200240 People's Republic of China. Department of Preventative Ophthalmology Shanghai Eye Diseases Prevention and Treatment Center Shanghai Eye Hospital No. 380 Kangding Road Shanghai 200040 China. Department of Ophthalmology Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photo Medicine Shanghai General Hospital SJTU School of Medicine Shanghai China. National Clinical Research Center for Eye Diseases Shanghai 20080 China. Biomedical and Multimedia Information Technology Research Group School of Computer Science The University of Sydney Sydney NSW 2006 Australia. Department of Molecular Imaging Royal Prince Alfred Hospital and the University of Sydney Sydney Australia. Department of Automation The Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University (SJTU) 800 Dongchuan RD. Minhang District Shanghai 200240 People's Republic of China. lswang@***. Department of Preventative Ophthalmology Shanghai Eye Diseases Prevention and Treatment Center Shanghai Eye Hospital No. 380 Kangding Road Shanghai 200040 China. drxuxun@***. Department of Ophthalmology Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photo Medicine Shanghai General Hospital SJTU School of Medicine Shanghai China. drxuxun@***. National Clinical Research Center for Eye Diseases Shanghai 20080 China. drxuxun@***.
An amendment to this paper has been published and can be accessed via the original article.
来源: 评论
PILAE: A non-gradient descent learning scheme for deep feedforward neural networks
arXiv
收藏 引用
arXiv 2018年
作者: Guo, Ping Wang, Ke Zhou, XiuLing The Image Processing & Pattern Recognition Lab. School of Systems Science Beijing Normal University Beijing100875 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China The Department of Technology and Industry Development Beijing City University Beijing100083 China
In this work, a non-gradient descent learning (NGDL) scheme was proposed for deep feedforward neural networks (DNN). It is known that an autoencoder can be used as the building blocks of the multi-layer perceptron (ML... 详细信息
来源: 评论
A FAST RADIO BURST DISCOVERED IN FAST DRIFT SCAN SURVEY
arXiv
收藏 引用
arXiv 2020年
作者: Zhu, Weiwei Li, Di Luo, Rui Miao, Chenchen Zhang, Bing Spitler, Laura Lorimer, Duncan Kramer, Michael Champion, David Yue, Youling Cameron, Andrew Cruces, Marilyn Duan, Ran Feng, Yi Han, Jun Hobbs, George Niu, Chenhui Niu, Jiarui Pan, Zhichen Qian, Lei Shi, Dai Tang, Ningyu Wang, Pei Wang, Hongfeng Yuan, Mao Zhang, Lei Zhang, Xinxin Cao, Shuyun Feng, Li Gan, Hengqian Gao, Long Gu, Xuedong Guo, Minglei Hao, Qiaoli Huang, Lin Huang, Menglin Jiang, Peng Jin, Chengjin Li, Hui Li, Qi Li, Qisheng Liu, Hongfei Pan, Gaofeng Peng, Bo Qian, Hui Shi, Xiangwei Song, Jinyuo Song, Liqiang Sun, Caihong Sun, Jinghai Wang, Hong Wang, Qiming Wang, Yi Xie, Xiaoyao Yan, Jun Yang, Li Yang, Shimo Yao, Rui Yu, Dongjun Yu, Jinglong Zhang, Chengmin Zhang, Haiyan Zhang, Shuxin Zheng, Xiaonian Zhou, Aiying Zhu, Boqin Zhu, Lichun Zhu, Ming Zhu, Wenbai Zhu, Yan CAS Key Laboratory of FAST NAOC Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China CSIRO Astronomy and Space Science PO Box 76 EppingNSW1710 Australia Department of Physics and Astronomy University of Nevada Las Vegas Las VegasNV89154 United States National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China Max-Planck-Institut fr Radioastronomie Auf dem Hgel 69 BonnD-53121 Germany Department of Physics and Astronomy West Virginia University P.O. Box 6315 MorgantownWV26506 United States Center for Gravitational Waves and Cosmology Chestnut Ridge Research Building MorgantownWV26505 United States Image Processing and Pattern Recognition Laboratory School of Artificial Intelligence Beijing Normal University Beijing100875 China School of Information Management Dezhou University Dezhou253023 China Institute for Astronomical Science Dezhou University Dezhou253023 China
We report the discovery of a highly dispersed fast radio burst, FRB 181123, from an analysis of ∼1500 hr of drift-scan survey data taken using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). The pul... 详细信息
来源: 评论
Fast signal recovery from saturated measurements by linear loss and nonconvex penalties
arXiv
收藏 引用
arXiv 2018年
作者: He, Fan Huang, Xiaolin Liu, Yipeng Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University The MOE Key Laboratory of System Control and Information Processing Shanghai200240 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The Department of Computational Mathematics Science and Engineering Michigan State University MI United States
Sign information is the key to overcoming the inevitable saturation error in compressive sensing systems, which causes information loss and results in bias. For sparse signal recovery from saturation, we propose to us... 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
FWLBP: A scale invariant descriptor for texture classification
arXiv
收藏 引用
arXiv 2018年
作者: Roy, Swalpa Kumar Bhattacharya, Nilavra Chanda, Bhabatosh Chaudhuri, Bidyut B. Ghosh, Dipak Kumar Optical Character Recognition Laboratory Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India School of Information University of Texas AustinTX78712 United States Image Processing Laboratory Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata700108 India Department of Electronics and Communication Engineering National Institute of Technology Rourkela Rourkela769008 India
In this paper we propose a novel texture descriptor called Fractal Weighted Local Binary pattern (FWLBP). The fractal dimension (FD) measure is relatively invariant to scale-changes, and presents a good correlation wi... 详细信息
来源: 评论