咨询与建议

限定检索结果

文献类型

  • 158 篇 会议
  • 70 篇 期刊文献

馆藏范围

  • 228 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 154 篇 工学
    • 92 篇 计算机科学与技术...
    • 81 篇 软件工程
    • 35 篇 信息与通信工程
    • 33 篇 生物医学工程(可授...
    • 31 篇 光学工程
    • 29 篇 控制科学与工程
    • 23 篇 生物工程
    • 22 篇 电气工程
    • 21 篇 电子科学与技术(可...
    • 17 篇 机械工程
    • 14 篇 仪器科学与技术
    • 6 篇 化学工程与技术
    • 4 篇 材料科学与工程(可...
    • 4 篇 交通运输工程
    • 3 篇 力学(可授工学、理...
    • 2 篇 建筑学
  • 86 篇 理学
    • 53 篇 数学
    • 32 篇 物理学
    • 27 篇 生物学
    • 17 篇 统计学(可授理学、...
    • 9 篇 系统科学
    • 7 篇 化学
  • 30 篇 管理学
    • 18 篇 图书情报与档案管...
    • 13 篇 管理科学与工程(可...
  • 14 篇 医学
    • 12 篇 临床医学
    • 11 篇 基础医学(可授医学...
    • 11 篇 药学(可授医学、理...
    • 3 篇 公共卫生与预防医...
  • 6 篇 艺术学
    • 6 篇 设计学(可授艺术学...
  • 2 篇 教育学
    • 2 篇 教育学
  • 2 篇 文学
  • 2 篇 农学
  • 1 篇 法学
  • 1 篇 军事学

主题

  • 24 篇 pattern recognit...
  • 22 篇 image processing
  • 14 篇 computer science
  • 14 篇 feature extracti...
  • 12 篇 image segmentati...
  • 11 篇 support vector m...
  • 10 篇 image analysis
  • 9 篇 image recognitio...
  • 8 篇 image edge detec...
  • 8 篇 machine learning
  • 8 篇 image reconstruc...
  • 8 篇 shape
  • 8 篇 robustness
  • 7 篇 laboratories
  • 7 篇 mobile robots
  • 7 篇 accuracy
  • 6 篇 semantics
  • 6 篇 humans
  • 6 篇 computer vision
  • 5 篇 blood vessels

机构

  • 28 篇 institute of ima...
  • 20 篇 image processing...
  • 17 篇 institute of ima...
  • 13 篇 school of comput...
  • 6 篇 pattern recognit...
  • 5 篇 faculty of compu...
  • 5 篇 pattern recognit...
  • 4 篇 institute of ima...
  • 4 篇 department of au...
  • 4 篇 pattern recognit...
  • 4 篇 school of comput...
  • 3 篇 school of comput...
  • 3 篇 school of comput...
  • 3 篇 institute of med...
  • 3 篇 the school of co...
  • 3 篇 school of comput...
  • 3 篇 institute for pa...
  • 3 篇 laboratory of im...
  • 3 篇 shanghai jiao to...
  • 3 篇 key laboratory o...

作者

  • 25 篇 yang jie
  • 18 篇 ping guo
  • 10 篇 sergiu nedevschi
  • 9 篇 yang yang
  • 8 篇 burkhardt hans
  • 8 篇 guo ping
  • 7 篇 jie huang
  • 6 篇 qian yin
  • 6 篇 qunfei zhao
  • 6 篇 wang lisheng
  • 6 篇 huang xiaolin
  • 6 篇 gong chen
  • 5 篇 h. bischof
  • 5 篇 jie yang
  • 5 篇 huakang li
  • 5 篇 bischof horst
  • 5 篇 liu wei
  • 5 篇 hong-bin shen
  • 5 篇 chen huai
  • 5 篇 leonardis aleš

语言

  • 222 篇 英文
  • 3 篇 其他
  • 3 篇 中文
检索条件"机构=Pattern Recognition and Image Processing LaboratoryDepartment of Computer Science"
228 条 记 录,以下是211-220 订阅
排序:
CONTROLLING A computer VIA FACIAL ASPECT
收藏 引用
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1995年 第4期25卷 669-677页
作者: BALLARD, P STOCKMAN, GC Pattern Recognition & Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA
Control of a computer workstation via face position and facial gesturing would be an important advance for people with hand or body disabilities as well as for all users. Steps toward realization of such a system are ... 详细信息
来源: 评论
Page segmentation using texture discrimination masks
Page segmentation using texture discrimination masks
收藏 引用
IEEE International Conference on image processing
作者: A.K. Jain Y. Zhong Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA
We propose a new texture-based page segmentation algorithm which automatically extracts the text, halftone, and line-drawing regions from input greyscale document images. This approach utilizes a neural network to tra... 详细信息
来源: 评论
Development and application of MCAL tools for marine radar instruction
收藏 引用
computer Applications in Engineering Education 1995年 第4期3卷 259-259页
作者: Guirguis, S. Korany, E. Abdel-Bary, A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt Shawkat K. Guirguis:obtained the BSc and M.Sc. degrees in Computer Science and Automatic Control Faculty of Engineering Alexandria University in 1981 and 1984 respectively. In 1988 he obtained a PhD degree in Electronics and Communications Faculty of Engineering Cairo University co-supervised by the Imperial College of Science and Technology University of London where he spent two years as an academic visitor. His current research interests include software quality management multimedia automatic programming and decision support systems. He is currently a lecturer of Computer Science at the Institute of Graduate Studies & Research Alexandria University. Ezzat A. Korany:received the BS degree in Electrical Engineering (Electronics Section) from the University of Alexandria Egypt in 1971 the MS degree in Electrical Engineering (Computer Section) from Ain Shams University Cairo Egypt in 1977 and the PhD degree in Electrical Engineering (Digital Systems) from Florida Institute of Technology U.S.A. in 1982. He is currently an associate professor of Computer Science at the Institute of Graduate Studies & Research University of Alexandria. His research interests are in data communications and multimedia applications computer networks image processing and pattern recognition. Abdel-Latif A. Abdel-Bary:obtained the BEng degree in Electronics Technology from Arab Maritime Transport Academy in 1986. In 1995 he obtained the MSc degree in Information Technology from the Institute of Graduate Studies & Research Alexandria University. His current research interests include ICAL hypermedia and automatic programming.
In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional cours...
来源: 评论
A general framework for machine vision: Hierarchical token grouping
A general framework for machine vision: Hierarchical token g...
收藏 引用
1994 International Symposium on Speech, image processing and Neural Networks, ISSIPNN 1994
作者: Huang, Qian Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
While the view of constructive and hierarchical vision prevails, the issues of cooperation and competition among individual modules become crucial. These issues are directly related to one of the most important aspect... 详细信息
来源: 评论
Model-based automatic recognition of blood vessels from MR images and its 3D visualization
Model-based automatic recognition of blood vessels from MR i...
收藏 引用
IEEE International Conference on image processing
作者: Qian Huang G.C. Stockman IBM Research Division Almaden Research Center San Jose CA USA Pattern Recognition and Image Processing LaboratoryDepartment of Computer Science Michigan State University East Lansing MI USA
A model-based approach is used for recognizing arterial blood vessels from MRA volumetric data. The modeling includes (1) a generalized stochastic tube model characterizing the structural properties of the vessels, an... 详细信息
来源: 评论
A general framework for machine vision: hierarchical token grouping
A general framework for machine vision: hierarchical token g...
收藏 引用
International Symposium on Speech, image processing and Neural Networks
作者: Qian Huang Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA
While the view of constructive and hierarchical vision prevails, the issues of cooperation and competition among individual modules become crucial. These issues are directly related to one of the most important aspect... 详细信息
来源: 评论
Generalized stochastic tube model: Tracking 3D blood vessels in MR images  12
Generalized stochastic tube model: Tracking 3D blood vessels...
收藏 引用
12th IAPR International Conference on pattern recognition - Conference B: pattern recognition and Neural Networks, ICPR 1994
作者: Huang, Qian Stockman, George C. IBM Research Division Almaden Research Center 650 Harry Road San JoseCA95120-6099 United States Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
This paper addresses the issue of tracking tubular objects, particularly blood vessels from MR images. A model-based approach is adopted. The generalized stochastic tube (GST) model is developed which is an extension ... 详细信息
来源: 评论
Model-based automatic recognition of blood vessels from MR images and its 3D visualization
Model-based automatic recognition of blood vessels from MR i...
收藏 引用
The 1994 1st IEEE International Conference on image processing
作者: Huang, Qian Stockman, G.C. IBM Research Division Almaden Research Center 650 Harry Road San JoseCA95120-6099 United States Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East LansingMI48824 United States
A model-based approach is used for recognizing arterial blood vessels from MRA volumetric data. The modeling includes (1) a generalized stochastic tube model characterizing the structural properties of the vessels, an... 详细信息
来源: 评论
Generalized stochastic tube model: tracking 3D blood vessels in MR images
Generalized stochastic tube model: tracking 3D blood vessels...
收藏 引用
International Conference on pattern recognition
作者: Qian Huang G.C. Stockman Almaden Research Center San Jose CA USA Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA
This paper addresses the issue of tracking tubular objects, particularly blood vessels from MR images. A model-based approach is adopted. The generalized stochastic tube (GST) model is developed which is an extension ... 详细信息
来源: 评论
Combining Feature Extraction and Hidden Markov Modelling for Automatic Speech recognition
Combining Feature Extraction and Hidden Markov Modelling for...
收藏 引用
International Conference on Communication Technology(ICCT’94)
作者: WU Jianxiong CHEN Peifang CHAN Chorkin DENG Li Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Department of Computer Science University of Hong Kong Dcpartment of Electrical and Computer Engineering University of WaterlooWaterlooOntarioCanada N2L 3G1.
<正>Feature extraction is very important for the classifier design and the overall performance of *** recognition ***,due to the lack of theoretical guidances,feature extraction and classifier design are usually tre...
来源: 评论