Probabilistic models in computer vision

被引：0
|
作者：
Bowden, R [1 ]
机构：
[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Surrey GU2 7XH, England
来源：
IMAGE AND VISION COMPUTING | 2003年 / 21卷 / 10期
关键词：
D O I：
10.1016/S0262-8856(03)00086-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：841 / 841
页数：1
相关论文
共 50 条
  • [31] Retraction Note: Computer vision for facial analysis using human–computer interaction models
    Zitian Liao
    R. Dinesh Jackson Samuel
    Sujatha Krishnamoorthy
    International Journal of Speech Technology, 2024, 27 (1) : 297 - 297
  • [32] Using phenotypes with uncertain identification leveraging computer vision models
    Shumaly, Mina
    Steibel, Juan P.
    JOURNAL OF ANIMAL SCIENCE, 2024, 102 : 25 - 26
  • [33] Masking Strategies for Background Bias Removal in Computer Vision Models
    Aniraj, Ananthu
    Dantas, Cassio F.
    Ienco, Dino
    Marcos, Diego
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, 2023, : 4399 - 4407
  • [34] Method for Reducing Neural-Network Models of Computer Vision
    A. A. Kroshchanka
    V. A. Golovko
    M. Chodyka
    Pattern Recognition and Image Analysis, 2022, 32 : 294 - 300
  • [35] Energy-based models in document recognition and computer vision
    LeCun, Yann
    Chopra, Sumit
    Ranzato, Marc'Aurelio
    Huang, Fu-Jie
    ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2007, : 337 - 341
  • [36] Adversarial Attacks on Deep Learning Models of Computer Vision: A Survey
    Ding, Jia
    Xu, Zhiwu
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2020, PT III, 2020, 12454 : 396 - 408
  • [37] 3DB: A Framework for Debugging Computer Vision Models
    Leclerc, Guillaume
    Salman, Hadi
    Ilyas, Andrew
    Vemprala, Sai
    Engstrom, Logan
    Vineet, Vibhav
    Xiao, Kai
    Zhang, Pengchuan
    Santurkar, Shibani
    Yang, Greg
    Kapoor, Ashish
    Madry, Aleksander
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [38] Complex Deep Learning and Evolutionary Computing Models in Computer Vision
    Zhang, Li
    Lim, Chee Peng
    Han, Jungong
    COMPLEXITY, 2019, 2019
  • [39] Neuroscientific insights about computer vision models: a concise review
    Susan, Seba
    BIOLOGICAL CYBERNETICS, 2024, 118 (5-6) : 331 - 348
  • [40] PAMPAS: Real-valued graphical models for computer vision
    Isard, M
    2003 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2003, : 613 - 620
12345