Instantaneous Learning in Pattern Recognition

被引：0
作者：
A. M. Mikhailov
M. F. Karavay
V. A. Sivtsov
机构：
[1] Trapeznikov Institute of Control Sciences,
[2] Russian Academy of Sciences,undefined
来源：
Automation and Remote Control | 2022年 / 83卷
关键词：
pattern recognition; machine learning; deep learning; inverse pattern; multidimensional indexing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：417 / 425
页数：8
相关论文
共 50 条
  • [31] A relational learning method for pattern and object recognition
    Caelli, T
    West, G
    Robey, M
    Osman, E
    IMAGE AND VISION COMPUTING, 1999, 17 (5-6) : 391 - 401
  • [32] A Multitask Learning Model for Online Pattern Recognition
    Ozawa, Seiichi
    Roy, Asim
    Roussinov, Dmitri
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (03): : 430 - 445
  • [33] LOWER BOUNDS IN PATTERN-RECOGNITION AND LEARNING
    DEVROYE, L
    LUGOSI, G
    PATTERN RECOGNITION, 1995, 28 (07) : 1011 - 1018
  • [34] Patrony: A mobile application for pattern recognition learning
    Barron-Estrada, Maria Lucia
    Zatarain-Cabada, Ramon
    Romero-Polo, Jorge Abraham
    Monroy, Julieta Noguez
    EDUCATION AND INFORMATION TECHNOLOGIES, 2022, 27 (01) : 1237 - 1260
  • [35] Patrony: A mobile application for pattern recognition learning
    María Lucia Barrón-Estrada
    Ramón Zatarain-Cabada
    Jorge Abraham Romero-Polo
    Julieta Noguez Monroy
    Education and Information Technologies, 2022, 27 : 1237 - 1260
  • [36] Comparison of Different Learning Algorithms for Pattern Recognition with Hopfield's Neural Network
    Szandala, Tomasz
    6TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA 2015), 2015, 71 : 68 - 75
  • [37] A Comparative Study to Deep Learning for Pattern Recognition, By using Online and Batch Learning; Taking Cybersecurity as a case
    Djellali, Choukri
    Adda, Mehdi
    Moutacalli, Mohamed Tarik
    PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019), 2019, : 907 - 912
  • [38] Pattern Recognition of Acute Lymphoblastic Leukemia (ALL) Using Computational Deep Learning
    Jiwani, Nasmin
    Gupta, Ketan
    Pau, Giovanni
    Alibakhshikenari, Mohammad
    IEEE ACCESS, 2023, 11 : 29541 - 29553
  • [39] 2D geometric shapes dataset - for machine learning and pattern recognition
    El Korchi, Anas
    Ghanou, Youssef
    DATA IN BRIEF, 2020, 32
  • [40] Enhancing the pattern recognition capacity of machine learning techniques: The importance of feature positioning
    Di Caprio, Debora
    Santos-Arteaga, Francisco J.
    MACHINE LEARNING WITH APPLICATIONS, 2022, 7
12345