咨询与建议

限定检索结果

文献类型

  • 687 篇 会议
  • 89 册 图书
  • 11 篇 期刊文献

馆藏范围

  • 787 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 490 篇 工学
    • 420 篇 计算机科学与技术...
    • 198 篇 软件工程
    • 91 篇 信息与通信工程
    • 84 篇 电气工程
    • 54 篇 控制科学与工程
    • 32 篇 生物医学工程(可授...
    • 30 篇 生物工程
    • 21 篇 光学工程
    • 19 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
    • 10 篇 材料科学与工程(可...
    • 9 篇 机械工程
    • 9 篇 安全科学与工程
    • 8 篇 环境科学与工程(可...
    • 8 篇 网络空间安全
  • 153 篇 理学
    • 93 篇 数学
    • 35 篇 生物学
    • 34 篇 物理学
    • 24 篇 统计学(可授理学、...
    • 17 篇 化学
    • 12 篇 系统科学
  • 75 篇 管理学
    • 41 篇 管理科学与工程(可...
    • 39 篇 图书情报与档案管...
    • 20 篇 工商管理
  • 69 篇 医学
    • 64 篇 临床医学
    • 21 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 20 篇 法学
    • 16 篇 社会学
  • 9 篇 艺术学
  • 8 篇 经济学
    • 8 篇 应用经济学
  • 6 篇 农学
  • 1 篇 教育学
  • 1 篇 军事学

主题

  • 133 篇 pattern recognit...
  • 47 篇 artificial intel...
  • 43 篇 computer imaging...
  • 31 篇 machine learning
  • 27 篇 feature extracti...
  • 20 篇 affective comput...
  • 19 篇 image processing...
  • 18 篇 cloud computing
  • 17 篇 information syst...
  • 17 篇 neural networks
  • 17 篇 data mining
  • 16 篇 pattern matching
  • 16 篇 computer vision
  • 15 篇 deep learning
  • 15 篇 information syst...
  • 14 篇 pattern classifi...
  • 14 篇 computer communi...
  • 14 篇 computer applica...
  • 14 篇 emotion recognit...
  • 13 篇 support vector m...

机构

  • 7 篇 university of ch...
  • 5 篇 indian statistic...
  • 5 篇 fujian key labor...
  • 5 篇 school of comput...
  • 4 篇 university of te...
  • 4 篇 bournemouth univ...
  • 4 篇 institute of com...
  • 4 篇 school of inform...
  • 4 篇 gdynia maritime ...
  • 3 篇 friedrich alexan...
  • 3 篇 department of co...
  • 3 篇 university of mi...
  • 3 篇 school of electr...
  • 3 篇 institute of hea...
  • 3 篇 universidad esta...
  • 3 篇 johns hopkins un...
  • 3 篇 universidad andr...
  • 3 篇 univ chinese aca...
  • 2 篇 fgan-fom researc...
  • 2 篇 univ mysore dept...

作者

  • 6 篇 de-shuang huang
  • 6 篇 wang da-han
  • 6 篇 suen ching y.
  • 5 篇 yang jie
  • 5 篇 shivakumara pala...
  • 4 篇 julie a. jacko
  • 4 篇 ireneusz czarnow...
  • 4 篇 maier andreas
  • 4 篇 alfonso mateos c...
  • 3 篇 chen yiqiang
  • 3 篇 jianhua tao
  • 3 篇 umapada pal
  • 3 篇 liu cheng-lin
  • 3 篇 filipe portela
  • 3 篇 fotouhi javad
  • 3 篇 akira notsu
  • 3 篇 seiki ubukata
  • 3 篇 katsuhiro honda
  • 3 篇 navab nassir
  • 3 篇 unberath mathias

语言

  • 769 篇 英文
  • 12 篇 其他
  • 10 篇 中文
检索条件"任意字段=Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition"
787 条 记 录,以下是31-40 订阅
排序:
Deep Learning Approach for recognition of Handwritten Kannada Numerals  8th
Deep Learning Approach for Recognition of Handwritten Kannad...
收藏 引用
8th international conference on Soft computing and pattern recognition (SoCPaR) / 8th international conference on Computational Aspects of Social Networks (CASoN)
作者: Ganesh, Anirudh Jadhav, Ashwin R. Pragadeesh, K. A. Cibi Vellore Inst Univ Vellore Tamil Nadu India
We come across a large volume of handwritten texts in our daily lives and handwritten character recognition has long been an important area of research in pattern recognition. the complexity of the task varies among d... 详细信息
来源: 评论
Design and Evaluation of Reinforcement Learning Based AI Agent: A Case Study in Gaming  8th
Design and Evaluation of Reinforcement Learning Based AI Age...
收藏 引用
8th international conference on Soft computing and pattern recognition (SoCPaR) / 8th international conference on Computational Aspects of Social Networks (CASoN)
作者: Jayashree, P. Ramakrishnan, K. Anna Univ Dept Comp Technol Madras Inst Technol Madras 600044 Tamil Nadu India
Soft computing is extensively used in the field of computer games to create AI agents for computers. A case study of reinforcement learning is presented, by designing an AI agent for chopsticks game, with a probabilis... 详细信息
来源: 评论
A Cloud Based Environment for Big Data Analytics in Healthcare  8th
A Cloud Based Environment for Big Data Analytics in Healthca...
收藏 引用
8th international conference on Soft computing and pattern recognition (SoCPaR) / 8th international conference on Computational Aspects of Social Networks (CASoN)
作者: Chauhan, Ritu Jangade, Rajesh Mudunuru, Vimal K. Amity Univ Noida Uttar Pradesh India
A large amount of modern healthcare data is generated through imaging, Electronic Health Report (EHR), sensor based technology and other various healthcare processes. An elaborative perspective in technological advanc... 详细信息
来源: 评论
uPAD: Unsupervised Privacy-Aware Anomaly Detection in High Performance computing Systems  8th
uPAD: Unsupervised Privacy-Aware Anomaly Detection in High P...
收藏 引用
8th international conference on pattern recognition Applications and Methods (ICPRAM)
作者: Ghiasvand, Siavash Tech Univ Dresden Dresden Germany
Rapid growing complexity of HPC systems in response to demand for higher computing performance, results in higher probability of failures. Early detection of failures significantly reduces the damages caused by failur... 详细信息
来源: 评论
Advanced Deep Neural Networks for pattern recognition: An Experimental Study  8th
Advanced Deep Neural Networks for Pattern Recognition: An Ex...
收藏 引用
8th international conference on Soft computing and pattern recognition (SoCPaR) / 8th international conference on Computational Aspects of Social Networks (CASoN)
作者: Padmanabhan, Jayashree Premkumar, J. Melvin Jose Anna Univ Madras Inst Technol Madras 600044 Tamil Nadu India Google Inc Software Engn Intern Mountain View CA 94043 USA
Difficulty in pattern recognition is perceptible and neural networks approach the problem by way of learning from similar known patterns. Interest in Neural Networks started in the early 1980s when they were deemed to... 详细信息
来源: 评论
Human Posture recognition using Artificial Neural Networks  8
Human Posture Recognition using Artificial Neural Networks
收藏 引用
IEEE 8th international Advance computing conference (IACC)
作者: Kale, Hrishikesh Mandke, Prathamesh Mahajan, Hrishikesh Deshpande, Vedant COEP Dept Elect & Telecommun Engn Pune Maharashtra India
this paper proposes the use of artificial neural networks(ANNs) to classify human postures, using an invasive(intrusive) approach, into 6 categories namely standing, sitting, sleeping and bending - forward and backwar... 详细信息
来源: 评论
Bangla Handwritten Basic Character recognition Using Deep Convolutional Neural Network  8
Bangla Handwritten Basic Character Recognition Using Deep Co...
收藏 引用
Joint 8th international conference on Informatics, Electronics and Vision (ICIEV) / 3rd international conference on Imaging, Vision and pattern recognition (icIVPR) / international conference on Activity and Behavior computing (ABC)
作者: Saha, Chandrika Faisal, Rahat Hossain Rahman, Md Mostafijur Univ Barishal Dept Comp Sci & Engn Barishal Bangladesh
Bangla is one of the mostly spoken languages all over the world, nonetheless, efforts on Bangla handwritten character recognition is not adequate. the use of Deep Convolutional Neural Network (DCNN) based classifiers ... 详细信息
来源: 评论
Solving Machine Part Cell Formation Problem Using Genetic Algorithm Based Evolutionary computing  8th
Solving Machine Part Cell Formation Problem Using Genetic Al...
收藏 引用
8th international conference on Soft computing and pattern recognition (SoCPaR) / 8th international conference on Computational Aspects of Social Networks (CASoN)
作者: Sowmiya, N. Valarmathi, B. Gupta, N. Srinivasa VIT Univ Sch Informat Technol & Engn Vellore Tamil Nadu India VIT Univ Sch Informat Technol & Engn Dept Software & Syst Engn Vellore Tamil Nadu India VIT Univ Sch Mech Engn Vellore Tamil Nadu India
Machine part cell formation is the group technology problem, in which the parts with near similar machining requirements are grouped into part families and the corresponding machines into machine cells. In this paper,... 详细信息
来源: 评论
Foreword from the editors of the special issue
收藏 引用
pattern recognition and Image Analysis 2008年 第4期18卷 515-517页
作者: Zhuravlev, Yu.I. Gurevich, I.B. Romanov, E.M. Niemann, H. Ivanov, V.A. Dorodnicyn Computing Center Russian Academy of Sciences Moscow Russia Mari State Technical University Yoshkar-Ola Russia Friedrich-Alexander University of Erlangen Nuremberg Germany
No abstract available
来源: 评论
A New Algorithm for SVM Incremental Learning
A New Algorithm for SVM Incremental Learning
收藏 引用
2006 8th international conference on Signal Processing
作者: Xiaodan Wang Chunying Zheng Chongming Wu Wei Wang Department of Computer Engineering Air Force Engineering University
Based on analyzing the relationship between the Karush-Kuhn-Tucker(KKT) conditions of support vector machine and the distribution of the training samples,the possible changes of support vector set
来源: 评论