咨询与建议

限定检索结果

文献类型

  • 241 篇 会议
  • 67 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 309 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 178 篇 工学
    • 116 篇 计算机科学与技术...
    • 90 篇 软件工程
    • 24 篇 机械工程
    • 24 篇 信息与通信工程
    • 17 篇 控制科学与工程
    • 14 篇 电子科学与技术(可...
    • 14 篇 生物工程
    • 10 篇 仪器科学与技术
    • 10 篇 电气工程
    • 9 篇 化学工程与技术
    • 6 篇 生物医学工程(可授...
    • 4 篇 光学工程
    • 4 篇 交通运输工程
    • 1 篇 力学(可授工学、理...
    • 1 篇 冶金工程
  • 72 篇 理学
    • 39 篇 数学
    • 21 篇 物理学
    • 17 篇 生物学
    • 10 篇 统计学(可授理学、...
    • 9 篇 化学
    • 5 篇 系统科学
  • 30 篇 管理学
    • 17 篇 图书情报与档案管...
    • 13 篇 管理科学与工程(可...
    • 3 篇 工商管理
  • 9 篇 艺术学
    • 9 篇 设计学(可授艺术学...
  • 3 篇 法学
    • 3 篇 社会学
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 农学
  • 2 篇 医学
    • 2 篇 临床医学
  • 1 篇 教育学
    • 1 篇 教育学
    • 1 篇 心理学(可授教育学...
  • 1 篇 军事学

主题

  • 103 篇 pattern recognit...
  • 79 篇 machine intellig...
  • 61 篇 character recogn...
  • 57 篇 handwriting reco...
  • 38 篇 feature extracti...
  • 37 篇 image segmentati...
  • 24 篇 neural networks
  • 22 篇 databases
  • 20 篇 optical characte...
  • 20 篇 humans
  • 20 篇 image recognitio...
  • 19 篇 hidden markov mo...
  • 17 篇 shape
  • 15 篇 computer science
  • 14 篇 face recognition
  • 14 篇 testing
  • 13 篇 writing
  • 13 篇 text analysis
  • 13 篇 image analysis
  • 12 篇 pixel

机构

  • 40 篇 centre for patte...
  • 18 篇 centre for patte...
  • 17 篇 centre for patte...
  • 11 篇 centre for patte...
  • 10 篇 center for patte...
  • 8 篇 center for patte...
  • 6 篇 department of ma...
  • 6 篇 center for patte...
  • 6 篇 centre for patte...
  • 5 篇 department of co...
  • 5 篇 centre for patte...
  • 5 篇 department of co...
  • 4 篇 guangdong provin...
  • 4 篇 center for patte...
  • 4 篇 ecole de technol...
  • 4 篇 department of co...
  • 4 篇 school of artifi...
  • 4 篇 department of ma...
  • 4 篇 center for patte...
  • 4 篇 cenparmi centre ...

作者

  • 86 篇 c.y. suen
  • 62 篇 suen ching y.
  • 38 篇 ching y. suen
  • 20 篇 suen c.y.
  • 15 篇 r. sabourin
  • 13 篇 y.y. tang
  • 11 篇 louisa lam
  • 11 篇 vinay a.
  • 11 篇 f. bortolozzi
  • 11 篇 lam louisa
  • 10 篇 s natarajan
  • 9 篇 m. cheriet
  • 9 篇 natarajan s.
  • 8 篇 t.d. bui
  • 8 篇 suen cy
  • 8 篇 vinay a
  • 7 篇 l. lam
  • 7 篇 k n balasubraman...
  • 6 篇 y.s. huang
  • 5 篇 chun lei he

语言

  • 304 篇 英文
  • 4 篇 其他
  • 1 篇 中文
检索条件"机构=Pattern Recognition and Machine Intelligence"
309 条 记 录,以下是1-10 订阅
排序:
METHODS OF COMBINING MULTIPLE CLASSIFIERS AND THEIR APPLICATIONS TO HANDWRITING recognition
收藏 引用
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1992年 第3期22卷 418-435页
作者: XU, L KRZYZAK, A SUEN, CY Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada
Method of combining the classification powers of several classifiers is regarded as a general problem in various application areas of pattern recognition, and a systematic investigation has been made. Possible solutio... 详细信息
来源: 评论
METHOD OF COMBINING MULTIPLE EXPERTS FOR THE recognition OF UNCONSTRAINED HANDWRITTEN NUMERALS
收藏 引用
IEEE TRANSACTIONS ON pattern ANALYSIS AND machine intelligence 1995年 第1期17卷 90-94页
作者: HUANG, YS SUEN, CY Centre for Pattern Recognition and Machine Intelligence Concordia University West Montreal QUE Canada
For pattern recognition, when a single classifier cannot provide a decision which is 100 percent correct, multiple classifiers should be able to achieve higher accuracy. This is because group decisions are generally b... 详细信息
来源: 评论
Deep Learning in Palmprint recognition-A Comprehensive Survey
arXiv
收藏 引用
arXiv 2025年
作者: Gao, Chengrui Yang, Ziyuan Jia, Wei Leng, Lu Zhang, Bob Teoh, Andrew Beng Jin College of Computer Science Sichuan University Chengdu610065 China Singapore School of Computer and Information Hefei University of Technology Hefei China Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China Pattern Analysis and Machine Intelligence Group Department of Computer and Information Science University of Macau Taipa China School of Electrical and Electronic Engineering College of Engineering Yonsei University Seoul Korea Republic of
Palmprint recognition has emerged as a prominent biometric technology, widely applied in diverse scenarios. Traditional handcrafted methods for palmprint recognition often fall short in representation capability, as t... 详细信息
来源: 评论
SIR-HCL: Semantic-Inconsistency Reasoning and Hybrid Contrastive Learning for Efficient Cross-Emotion Anomaly Detection
收藏 引用
IEEE Transactions on Cognitive and Developmental Systems 2025年
作者: Liu, Xin Chen, Qiyan Cheung, Yiu-Ming Peng, Shu-Juan Huaqiao University Department of Computer Science Xiamen361021 China Hong Kong Baptist University Department of Computer Science SAR Hong Kong Hong Kong Xiamen Key Laboratory of Computer Vision and Pattern Recognition Xiamen361021 China Huaqiao University Fujian Key Laboratory of Big Data Intelligence and Security Xiamen361021 China Huaqiao University Department of Artificial Intelligence Xiamen China Fujian Province University Key Laboratory of Computer Vision and Machine Learning Huaqiao University Xiamen361021 China
Cross-emotion anomaly detection is an emerging and challenging research topic in cognitive analysis field, which aims at identifying the abnormal emotion pair whose semantic patterns are inconsistent across different ... 详细信息
来源: 评论
Color Image Segmentation by Edge Linking and Region Grouping
收藏 引用
Journal of Shanghai Jiaotong university(Science) 2011年 第4期16卷 412-419页
作者: 王宁 杨杰 Key Laboratory of Pattern Recognition and Machine Intelligence of Ministry of Education Shanghai Jiaotong University
A novel method toward color image segmentation is proposed based on edge linking and region grouping. Firstly,the edges extracted by the Canny detector are linked to form *** of the end points of edges is connected by... 详细信息
来源: 评论
Error-correcting output coding for the convolutional neural network for optical character recognition
Error-correcting output coding for the convolutional neural ...
收藏 引用
ICDAR2009 - 10th International Conference on Document Analysis and recognition
作者: Deng, Huiqun Stathopoulos, George Suen, Ching Y. Center for Pattern Recognition and Machine Intelligence Concordia University Canada
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-correcting output coding (ECOC) to the C... 详细信息
来源: 评论
BUILDING A NEW GENERATION OF HANDWRITING recognition SYSTEMS
收藏 引用
pattern recognition LETTERS 1993年 第4期14卷 303-315页
作者: SUEN, CY LEGAULT, R NADAL, C CHERIET, M LAM, L Centre for Pattern Recognition & Machine Intelligence Concordia University Montr&eacute al Canada H3G 1M8
This paper gives an assessment of the current state of the art in handwriting recognition. It summarizes the lessons learned, the difficulties involved, and the challenges ahead. Based on a review of the recent achiev... 详细信息
来源: 评论
Isolated handwritten Farsi numerals recognition using sparse and over-complete representations
Isolated handwritten Farsi numerals recognition using sparse...
收藏 引用
ICDAR2009 - 10th International Conference on Document Analysis and recognition
作者: Pan, W.M. Bui, T.D. Suen, C.Y. Center for Pattern Recognition and Machine Intelligence Concordia University Canada
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral data. In this research, the sparse str... 详细信息
来源: 评论
Deep Learning on Binary patterns for Face recognition
Deep Learning on Binary Patterns for Face Recognition
收藏 引用
2018 International Conference on Computational intelligence and Data Science, ICCIDS 2018
作者: Vinay, A. Gupta, Abhijay Bharadwaj, Aprameya Srinivasan, Arvind Murthy, K.N. Balasubramanya Natarajan, S. Center for Pattern Recognition and Machine Intelligence PES University Bengaluru India
In this paper an efficient and robust method for real-time face recognition is proposed. As a part of pre-processing to remove noise and unwanted features, a filter is applied to the images of standard datasets. Subse... 详细信息
来源: 评论
Enhancement of Degraded CCTV Footage for Forensic Analysis  3rd
Enhancement of Degraded CCTV Footage for Forensic Analysis
收藏 引用
3rd International Conference on Innovative Computing and Communication, ICICC 2020
作者: Vinay, A. Lokesh, Aditya Kamath, Vinayaka R. Murty, K.N.B. Natarajan, S. Center for Pattern Recognition and Machine Intelligence PES University Bengaluru India
Forensic analysis has proved to be one of the most utilitarian tool in investigating crime. Forensic analysis provides evidence/basic information of the said crime through analysis of physical evidence. In this paper,... 详细信息
来源: 评论