[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3571560.3571568acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicaaiConference Proceedingsconference-collections
research-article

Incremental Learning of Classification models in Deep Learning

Published: 12 January 2023 Publication History
First page of PDF

References

[1]
J. Estevez, G. Garate and M. Graña, "Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch," in IEEE Access, vol. 7, pp. 179027-179036, 2019.
[2]
International Conference on Information Science, Signal Processing and their Applications (ISSPA), Montreal, QC, Canada, 2012, pp.
[3]
M. Girolami, A. Cichocki and S. I. Amari, "A common neural-network model for unsupervised exploratory data analysis and independent component analysis," in IEEE Transactions on Neural Networks, vol. 9, no. 6, pp. 1495-1501, Nov. 1998.
[4]
J. Meng, J. Zhang and H. Zhao, "Overview of the Speech Recognition Technology," 2012 Fourth International Conference on Computational and Information Sciences, Chongqing, China, 2012, pp. 199-202.
[5]
X. Han and Q. Du, "Research on face recognition based on deep learning," 2018 Sixth International Conference on Digital Information, Networking, and Wireless Communications (DINWC), Beirut, Lebanon, 2018, pp. 53-58.
[6]
S. Albawi, T. A. Mohammed and S. Al-Zawi, "Understanding of a convolutional neural network," 2017 International Conference on Engineering and Technology (ICET), 2017, pp. 1-6.
[7]
X. Li and Y. Shi, "Computer Vision Imaging Based on Artificial Intelligence," 2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS), 2018, pp. 22-25.
[8]
T. S. Huang, W. F. Schreiber and O. J. Tretiak, "Image processing," in Proceedings of the IEEE, vol. 59, no. 11, pp. 1586-1609, Nov. 1971.
[9]
W. Nianyu and A. Yunbo, "Production-oriented software platform for distributed control," in Tsinghua Science and Technology, vol. 1, no. 2, pp. 202-207, June 1996.
[10]
Q. Yang, Y. Gu and D. Wu, "Survey of incremental learning," 2019 Chinese Control And Decision Conference (CCDC), 2019, pp. 399-404.
[11]
J. He, R. Mao, Z. Shao and F. Zhu, "Incremental Learning in Online Scenario," 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 13923-13932.
[12]
S. Tripathi and R. Kumar, "Image Classification using small Convolutional Neural Network," 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2019, pp. 483-487.
[13]
https://www.nist.gov/srd/nist-special-database-19.
[14]
G. Cohen, S. Afshar, J. Tapson and A. van Schaik, "EMNIST: Extending MNIST to handwritten letters," 2017 International Joint Conference on Neural Networks (IJCNN), 2017, pp. 2921-2926.
[15]
A. Mikołajczyk and M. Grochowski, "Data augmentation for improving deep learning in image classification problem," 2018 International Interdisciplinary PhD Workshop (IIPhDW), 2018, pp. 117-122.
[16]
Citation:- J. Leo and J. Kalita, "Incremental Deep Neural Network Learning Using Classification Confidence Thresholding," in IEEE Transactions on Neural Networks and Learning Systems.
[17]
Citation :- S. S. Sarwar, A. Ankit and K. Roy, "Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing," in IEEE Access, vol. 8, pp. 4615-4628, 2020.
[18]
S. Agrawal, S. Das, M. Valmiki, S. Wandhekar and R. Moona, "A Case for PARAM Shavak: Ready-to-Use and Affordable Supercomputing Solution," 2017 International Conference on High Performance Computing & Simulation (HPCS), Genoa, 2017, pp. 396-401
[19]
https://www.cdac.in/index.aspx?id=lu_param_shavakDL_launch

Cited By

View all

Index Terms

  1. Incremental Learning of Classification models in Deep Learning

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICAAI '22: Proceedings of the 6th International Conference on Advances in Artificial Intelligence
    October 2022
    164 pages
    ISBN:9781450396943
    DOI:10.1145/3571560
    © 2022 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 January 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. 1 Deep Learning
    2. 2 Machine Learning
    3. 3 Incremental Learning
    4. 4 Data augmentation
    5. 5 Data preprocessing
    6. 6 CNN

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICAAI 2022

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 52
      Total Downloads
    • Downloads (Last 12 months)15
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 14 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media