A new method for image classification and image retrieval using convolutional neural networks-Reference-Cited by-同舟云学术

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A new method for image classification and image retrieval using convolutional neural networks

Published:2021-07-28 Issue:1 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Giveki Davar¹^ORCID,Shakarami Ashkan²^ORCID,Tarrah Hadis³,Soltanshahi Mohammad Ali⁴

Affiliation:

1. Department of Computer Engineering Malayer University Malayer Iran

2. Department of Computer Engineering Afarinesh Institute of Higher Education Boroujerd Iran

3. Department of Electrical Engineering Islamic Azad University Qazvin Iran

4. Department of Computer Engineering University of Tarbiat Modares Tehran Iran

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.6533

Reference44 articles.

1. Robust moving object detection based on fusing Atanassov's Intuitionistic 3D Fuzzy Histon Roughness Index and texture features

2. Improving the Performance of Convolutional Neural Networks for Image Classification

3. Scale-space multi-view bag of words for scene categorization

4. Scene classification using a new radial basis function classifier and integrated SIFT–LBP features

5. Atanassov's intuitionistic fuzzy histon for robust moving object detection

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