A dynamic wrapper‐based feature selection for improved precision in content‐based image retrieval
Author:
Affiliation:
1. Department of Computer Science and EngineeringVivekanandha College of Engineering for Women Tiruchengode India
2. Department of Computer Science and Engineering, College of Engineering, Guindy CampusAnna University Chennai India
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5368
Reference27 articles.
1. Advances in Computer and Computational Sciences 2018 Springer Singapore VP Singh R Srivastava Improved content‐based image classification using a random forest classifier 365 376
2. Feature selection and extraction for content‐based image retrieval;Kumar ES;Int J Math Trends Technol,2012
3. A simultaneous feature adaptation and feature selection method for content‐based image retrieval systems;Rashedi E;Knowl Based Syst,2013
4. DylaMHOM TairiH AarabA.Content based image retrieval based on BEMD: use of curvelet transform coefficients distribution and Gabor wavelets. In: Proceedings of the 2011 International Conference on Multimedia Computing and Systems;2011;Ouarzazate Morocco.
5. AdaBoost as classifier ensemble in classification problems;Novakovic JD;InfoTeh‐Jahorina,2014
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