Adaptive Feature Selection Based on the Most Informative Graph-Based Features

Lu, Bai, Cui, Lixin, Rossi, Luca et al. (1 more author) (2017) Adaptive Feature Selection Based on the Most Informative Graph-Based Features. In: Graph-Based Representations in Pattern Recognition - 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, Proceedings. Springer Berlin / Heidelberg , pp. 276-287.

Metadata

Authors/Creators:
Dates:
  • Accepted: 20 March 2017
  • Published: 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 22 Mar 2017 15:20
Last Modified: 14 Nov 2021 11:44
Published Version: https://doi.org/10.1007/978-3-319-58961-9_25
Status: Published
Publisher: Springer Berlin / Heidelberg
Refereed: No
Identification Number: https://doi.org/10.1007/978-3-319-58961-9_25
Related URLs:

Download

Share / Export

Statistics