咨询与建议

限定检索结果

文献类型

  • 192 篇 会议
  • 86 篇 期刊文献
  • 9 册 图书

馆藏范围

  • 287 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 172 篇 工学
    • 128 篇 计算机科学与技术...
    • 112 篇 软件工程
    • 45 篇 信息与通信工程
    • 41 篇 光学工程
    • 30 篇 生物工程
    • 28 篇 生物医学工程(可授...
    • 27 篇 机械工程
    • 19 篇 控制科学与工程
    • 13 篇 仪器科学与技术
    • 13 篇 电气工程
    • 7 篇 电子科学与技术(可...
    • 5 篇 力学(可授工学、理...
    • 4 篇 化学工程与技术
    • 4 篇 安全科学与工程
    • 3 篇 建筑学
  • 111 篇 理学
    • 56 篇 数学
    • 47 篇 物理学
    • 32 篇 生物学
    • 19 篇 统计学(可授理学、...
    • 6 篇 化学
    • 4 篇 系统科学
  • 47 篇 管理学
    • 34 篇 图书情报与档案管...
    • 18 篇 管理科学与工程(可...
    • 9 篇 工商管理
  • 14 篇 医学
    • 14 篇 临床医学
    • 13 篇 基础医学(可授医学...
    • 11 篇 药学(可授医学、理...
  • 6 篇 艺术学
    • 6 篇 设计学(可授艺术学...
  • 3 篇 经济学
    • 3 篇 应用经济学
  • 3 篇 法学
    • 3 篇 社会学
  • 1 篇 教育学

主题

  • 36 篇 pattern recognit...
  • 34 篇 feature extracti...
  • 28 篇 image segmentati...
  • 27 篇 computer vision
  • 25 篇 support vector m...
  • 19 篇 handwriting reco...
  • 19 篇 training
  • 15 篇 image edge detec...
  • 15 篇 accuracy
  • 14 篇 character recogn...
  • 12 篇 optical characte...
  • 12 篇 shape
  • 11 篇 databases
  • 10 篇 kernel
  • 9 篇 face recognition
  • 9 篇 text recognition
  • 8 篇 writing
  • 8 篇 image color anal...
  • 7 篇 computer science
  • 7 篇 image processing

机构

  • 86 篇 computer vision ...
  • 18 篇 department of st...
  • 15 篇 computer vision ...
  • 14 篇 national key lab...
  • 10 篇 department of in...
  • 8 篇 department of co...
  • 8 篇 computer vision ...
  • 8 篇 xiamen key labor...
  • 8 篇 faculty of compu...
  • 7 篇 department of st...
  • 6 篇 shenzhen key lab...
  • 5 篇 graduate school ...
  • 5 篇 computer vision ...
  • 5 篇 faculty of compu...
  • 5 篇 machine vision a...
  • 4 篇 machine vision a...
  • 4 篇 national laborat...
  • 4 篇 department of co...
  • 4 篇 department of co...
  • 4 篇 university of ch...

作者

  • 46 篇 pal umapada
  • 41 篇 umapada pal
  • 16 篇 palaiahnakote sh...
  • 13 篇 p. nagabhushan
  • 11 篇 chanda sukalpa
  • 11 篇 alireza alaei
  • 10 篇 b.b. chaudhuri
  • 10 篇 tong lu
  • 10 篇 shivakumara pala...
  • 9 篇 sukalpa chanda
  • 8 篇 chaudhuri bidyut...
  • 7 篇 ming dong
  • 7 篇 eerola tuomas
  • 7 篇 kälviäinen heikk...
  • 7 篇 liu jianzhuang
  • 7 篇 katrin franke
  • 6 篇 blumenstein mich...
  • 6 篇 liu xin
  • 6 篇 alaei alireza
  • 6 篇 lu tong

语言

  • 278 篇 英文
  • 8 篇 其他
  • 1 篇 中文
检索条件"机构=Department of Computer Vision and Pattern Recognition"
287 条 记 录,以下是221-230 订阅
排序:
computer vision Approaches for Automated Bee Counting Application
arXiv
收藏 引用
arXiv 2024年
作者: Bilik, Simon Janakova, Ilona Ligocki, Adam Ficek, Dominik Horak, Karel Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Computer Vision and Pattern Recognition Laboratory Department of Computational Engineering Lappeenranta-Lahti University of Technology LUT Lappeenranta Finland
Many application from the bee colony health state monitoring could be efficiently solved using a computer vision techniques. One of such challenges is an efficient way for counting the number of incoming and outcoming... 详细信息
来源: 评论
Text-independent writer identification by feature fusion
Text-independent writer identification by feature fusion
收藏 引用
International Conference on Intelligent Control and Information Processing (ICICIP)
作者: Yongjie Hu Wenming Yang Youbin Chen Department of Electronic Engineering of Tsinghua University Zhejiang University Research interests include digital image processing and computer vision Department of Electronic Engineering of Tsinghua University Research interests include digital image processing and pattern recognition
This paper explores text-independent writer identification by combining Bag of Features (BoF), contour-hinge and SIFT scales feature. The BoF method adopted differs from the common BoF approach for writer identificati... 详细信息
来源: 评论
Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
arXiv
收藏 引用
arXiv 2024年
作者: Jain, Akshay Dubey, Shiv Ram Singh, Satish Kumar Santosh, K.C. Chaudhuri, Bidyut Baran The Computer Vision and Biometrics Lab Department of Information Technology Indian Institute of Information Technology Allahabad Uttar Pradesh Prayagraj211015 India The AI Research Lab Department of Computer Science University of South Dakota VermillionSD57069 United States The Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India
Convolutional Neural Networks (CNNs) have made remarkable strides;however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that humans can easily recognize. This weakn... 详细信息
来源: 评论
A colour image encryption based on DNA coding and chaotic sequences
A colour image encryption based on DNA coding and chaotic se...
收藏 引用
International Conference on Emerging Trends and Applications in computer Science (ICETACS)
作者: Sukalyan Som Atanu Kotal Ayantika Chatterjee Soumista Dey Sarbani Palit Department of Computer Science Barrackpore Rastraguru Surendranath College Kolkata West Bengal India Department of Computer Science and Engineering Techno India College of Technology Kolkata West Bengal India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata West Bengal India
In this communication, a Chaos Based Symmetric Key Encryption of RGB Color Images with DNA Coding and a Chaos based Pseudorandom Binary Number Generator (PRBNG) has been proposed. In the proposed algorithm, the plain ... 详细信息
来源: 评论
Optimal sub-shape models by minimum description length
Optimal sub-shape models by minimum description length
收藏 引用
Conference on computer vision and pattern recognition (CVPR)
作者: G. Langs P. Peloschek H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria Department of Clinical Radiology Vienna Medical University Vienna Austria
Active shape models are powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowledge in an efficient and gainful way. How... 详细信息
来源: 评论
Automatic image-to-model framework for patient-specific electromechanical modeling of the heart
Automatic image-to-model framework for patient-specific elec...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Dominik Neumann Tommaso Mansi Sasa Grbic Ingmar Voigt Bogdan Georgescu Elham Kayvanpour Ali Amr Farbod Sedaghat-Hamedani Jan Haas Hugo Katus Benjamin Meder Joachim Hornegger Ali Kamen Dorin Comaniciu Imaging and Computer Vision Siemens Corporate Technology Princeton NJ Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Germany Department of Internal Medicine III University Hospital Heidelberg Germany
A key requirement for recent advances in computational modeling to be clinically applicable is the ability to fit models to patient data. Various personalization techniques have been proposed for isolated sub-componen... 详细信息
来源: 评论
ICDAR2019 robust reading challenge on multi-lingual scene text detection and recognition-RRC-MLT-2019  15
ICDAR2019 robust reading challenge on multi-lingual scene te...
收藏 引用
15th IAPR International Conference on Document Analysis and recognition, ICDAR 2019
作者: Nayef, Nibal Liu, Cheng-Lin Ogier, Jean-Marc Patel, Yash Busta, Michal Chowdhury, Pinaki Nath Karatzas, Dimosthenis Khlif, Wafa Matas, Jiri Pal, Umapada Burie, Jean-Christophe L3i Laboratory University of la Rochelle France Computer Vision Center Universitat Autonoma de Barcelona Spain CVPR Unit Indian Statistical Institute India Robotics Institute Carnegie Mellon Universiry Pittsburgh United States Center for Machine Perception Department of Cybernetics Czech Technical University Prague Czech Republic National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China
With the growing cosmopolitan culture of modern cities, the need of robust Multi-Lingual scene Text (MLT) detection and recognition systems has never been more immense. With the goal to systematically benchmark and pu... 详细信息
来源: 评论
computer vision Approaches for Automated Bee Counting Application
收藏 引用
IFAC-PapersOnLine 2024年 第9期58卷 43-48页
作者: Simon Bilik Ilona Janakova Adam Ligocki Dominik Ficek Karel Horak Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic and Computer Vision and Pattern Recognition Laboratory Department of Computational Engineering Lappeenranta-Lahti University of Technology LUT Lappeenranta Finland Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic
Many application from the bee colony health state monitoring could be efficiently solved using a computer vision techniques. One of such challenges is an efficient way for counting the number of incoming and outcoming... 详细信息
来源: 评论
Automatic Handwritten Indian Scripts Identification
Automatic Handwritten Indian Scripts Identification
收藏 引用
International Workshop on Frontiers in Handwriting recognition
作者: Rajmohan Pardeshi B.B. Chaudhuri Mallikarjun Hangarge K.C. Santosh Department of Computer Science Karnatak Arts Science & Commerce College Bidar INDIA Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata INDIA US National Library of Medicine (NLM) National Institutes of Health (NIH) Bethesda MD USA
Since OCR engines are usually script-dependent, automatic text recognition in multi-script document requires a pre-processor module that identifies the scripts. Based on this motivation, in this paper, we present a wo... 详细信息
来源: 评论
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
arXiv
收藏 引用
arXiv 2021年
作者: Yuan, Zhimin Ma, Xiaofen Yi, Jiajin Luo, Zhengrong Peng, Jialin College of Computer Science and Technology Huaqiao University Xiamen361021 China Department of Medical Imaging Guangdong Second Provincial General Hospital Guangzhou510317 China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao University Xiamen361021 China
Background and objective: With the advancement of electron microscopy (EM) imaging technology, neuroscientists can investigate the function of various intracellular organelles, e.g, mitochondria, at nano-scale. Semant... 详细信息
来源: 评论