咨询与建议

限定检索结果

文献类型

  • 569 篇 会议
  • 241 篇 期刊文献
  • 11 册 图书

馆藏范围

  • 821 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 500 篇 工学
    • 341 篇 计算机科学与技术...
    • 298 篇 软件工程
    • 116 篇 信息与通信工程
    • 86 篇 生物工程
    • 77 篇 光学工程
    • 74 篇 机械工程
    • 64 篇 控制科学与工程
    • 54 篇 生物医学工程(可授...
    • 32 篇 化学工程与技术
    • 29 篇 仪器科学与技术
    • 29 篇 电气工程
    • 21 篇 电子科学与技术(可...
    • 9 篇 建筑学
    • 9 篇 安全科学与工程
    • 8 篇 力学(可授工学、理...
    • 8 篇 材料科学与工程(可...
    • 8 篇 土木工程
  • 298 篇 理学
    • 129 篇 数学
    • 115 篇 物理学
    • 93 篇 生物学
    • 39 篇 统计学(可授理学、...
    • 33 篇 化学
  • 121 篇 管理学
    • 83 篇 图书情报与档案管...
    • 45 篇 管理科学与工程(可...
    • 13 篇 工商管理
  • 19 篇 医学
    • 19 篇 临床医学
    • 17 篇 基础医学(可授医学...
    • 14 篇 药学(可授医学、理...
  • 17 篇 艺术学
    • 17 篇 设计学(可授艺术学...
  • 11 篇 法学
    • 11 篇 社会学
  • 4 篇 经济学
  • 2 篇 文学
  • 2 篇 农学
  • 1 篇 教育学

主题

  • 106 篇 pattern recognit...
  • 101 篇 feature extracti...
  • 88 篇 computer vision
  • 81 篇 image segmentati...
  • 67 篇 character recogn...
  • 65 篇 handwriting reco...
  • 62 篇 support vector m...
  • 56 篇 training
  • 46 篇 optical characte...
  • 41 篇 shape
  • 35 篇 accuracy
  • 32 篇 databases
  • 28 篇 histograms
  • 28 篇 testing
  • 27 篇 writing
  • 25 篇 image edge detec...
  • 25 篇 text recognition
  • 25 篇 image recognitio...
  • 21 篇 face recognition
  • 20 篇 hidden markov mo...

机构

  • 206 篇 computer vision ...
  • 43 篇 computer vision ...
  • 42 篇 university of ch...
  • 40 篇 shenzhen key lab...
  • 31 篇 national key lab...
  • 28 篇 faculty of compu...
  • 26 篇 shenzhen key lab...
  • 21 篇 siat branch shen...
  • 19 篇 shanghai ai labo...
  • 18 篇 department of st...
  • 17 篇 computer vision ...
  • 17 篇 computer vision ...
  • 16 篇 sensetime resear...
  • 16 篇 shenzhen key lab...
  • 14 篇 xiamen key labor...
  • 13 篇 school of comput...
  • 12 篇 computer vision ...
  • 12 篇 indian statistic...
  • 11 篇 shanghai artific...
  • 10 篇 department of in...

作者

  • 110 篇 umapada pal
  • 106 篇 pal umapada
  • 59 篇 qiao yu
  • 39 篇 b.b. chaudhuri
  • 32 篇 michael blumenst...
  • 32 篇 palaiahnakote sh...
  • 30 篇 blumenstein mich...
  • 27 篇 yu qiao
  • 27 篇 shivakumara pala...
  • 27 篇 dong chao
  • 26 篇 chaudhuri b.b.
  • 23 篇 u. pal
  • 19 篇 liu xin
  • 18 篇 lu tong
  • 17 篇 wang yali
  • 17 篇 tong lu
  • 16 篇 chanda sukalpa
  • 15 篇 chaudhuri bidyut...
  • 13 篇 fumitaka kimura
  • 13 篇 garain utpal

语言

  • 800 篇 英文
  • 17 篇 其他
  • 4 篇 中文
检索条件"机构=Computer Vision and Pattern Recognition"
821 条 记 录,以下是371-380 订阅
排序:
A complete automatic short answer assessment system with student identification
A complete automatic short answer assessment system with stu...
收藏 引用
International Conference on Document Analysis and recognition
作者: Hemmaphan Suwanwiwat Michael Blumenstein Umapada Pal School of Information and Communication Technology Griffith University Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
There are only a few studies undertaken in developing automatic assessment systems using handwriting recognition, even though a successful system would undoubtedly benefit the education system as schools and universit... 详细信息
来源: 评论
Bengali Noun Morphological Analyzer
Bengali Noun Morphological Analyzer
收藏 引用
International Conference on Advances in Computing, Communications and Informatics
作者: Priyanka Das Arjun Das Dept. of Computational Linguistics The English and Foreign Languages University Computer Vision and Pattern Recognition Unit Indian statistical Institute
This paper describes a linguistics approach towards development of a Bengali Noun Morphological Analyzer implemented at first on the semi-manually created database of 87697 inflected words list tokens, i.e. Input2 for... 详细信息
来源: 评论
Exploiting multi-scale fusion, spatial attention and patch interaction techniques for text-independent writer identification
arXiv
收藏 引用
arXiv 2021年
作者: Srivastava, Abhishek Chanda, Sukalpa Pal, Umapada Computer Vision & Pattern Recognition Unit Indian Statistical Institute Kolkata India Department of Computer Science and Communication Østfold University College Halden Norway
Text independent writer identification is a challenging problem that differentiates between different handwriting styles to decide the author of the handwritten text. Earlier writer identification relied on handcrafte... 详细信息
来源: 评论
Short Answer Question Examination using an Automatic Off-line Handwriting recognition System and a Novel Combined Feature
Short Answer Question Examination using an Automatic Off-lin...
收藏 引用
International Joint Conference on Neural Networks
作者: Hemmaphan Suwanwiwat Michael Blumenstein Umapada Pal School of Information and Communication Technology Griffith University Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
Off-line automatic assessment systems can be an aid for teachers in the marking process. There has been no recent work in the development of off-line automatic assessment systems using handwriting recognition, even th... 详细信息
来源: 评论
Off-Line Handwritten Bilingual Name recognition for Student Identification in an Automated Assessment System
Off-Line Handwritten Bilingual Name Recognition for Student ...
收藏 引用
International Workshop on Frontiers in Handwriting recognition
作者: Hemmaphan Suwanwiwat Vu Nguyen Michael Blumenstein Umapada Pal School of Information and Communication Technology Griffith University Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
The Student name Identification System (SIS) proposed here was investigated for English and Thai languages combined. The proposed system recognises each name by using an approach for whole word recognition. In the pro... 详细信息
来源: 评论
Structural, Syntactic, and Statistical pattern recognition  1
收藏 引用
丛书名: Lecture Notes in computer Science
1000年
作者: Edwin R. Hancock Richard C. Wilson Terry Windeatt Ilkay Ulusoy Francisco Escolano
This volume in the Springer Lecture Notes in computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly... 详细信息
来源: 评论
One-Shot Learning-Based Handwritten Word recognition  5th
One-Shot Learning-Based Handwritten Word Recognition
收藏 引用
5th Asian Conference on pattern recognition, ACPR 2019
作者: Chakrapani Gv, Asish Chanda, Sukalpa Pal, Umapada Doermann, David Electronics and Communication Department Manipal University Jaipur Jaipur India Centre for Image Analysis Department of Information Technology Uppsala University Uppsala Sweden Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India University at Buffalo SUNY Buffalo United States
One-Shot and Few-shot Learning algorithms have emerged as techniques that can imitate a humans ability to learn from very few examples. This is an advantage over traditional deep networks which require a lot of traini... 详细信息
来源: 评论
Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories
Abstract: Learning to avoid poor images: towards task-aware ...
收藏 引用
International workshop on Algorithmen - Systeme - Anwendungen, 2020
作者: Zaech, Jan-Nico Gao, Cong Bier, Bastian Taylor, Russell Maier, Andreas Navab, Nassir Unberath, Mathias Laboratory for Computational Sensing and Robotics Johns Hopkins University Baltimore United States Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Computer Vision Laboratory Eidgenössische Technische Hochschule Zürich Zürich Germany
Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts are particularly strong around metal im... 详细信息
来源: 评论
RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax  1
收藏 引用
16th European Conference on computer vision, ECCV 2020
作者: Zhang, Xiao Zhao, Rui Qiao, Yu Li, Hongsheng CUHK-SenseTime Joint Lab The Chinese University of Hong Kong Hong Kong SenseTime Research Hong Kong ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
Deep neural networks have achieved remarkable successes in learning feature representations for visual classification. However, deep features learned by the softmax cross-entropy loss generally show excessive intra-cl... 详细信息
来源: 评论
Font identification — In context of an Indic script
Font identification — In context of an Indic script
收藏 引用
International Conference on pattern recognition
作者: Sukalpa Chanda Umapada Pal Katrin Franke Department of Computer Science and Media Technology Gjøvik University College Norway Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
Font can be used as a notion of similarity amongst multiple documents written in same script. We could automatically retrieve document images with specific font from a huge digital document repository. So Optical Font... 详细信息
来源: 评论