Feature Extraction from Ensemble of Deep CNN Model for Image Retrieval Application-Reference-Cited by-同舟云学术

Feature Extraction from Ensemble of Deep CNN Model for Image Retrieval Application

Published:2021 Issue: Volume: Page:725-738
ISSN:2524-7565
Container-title:Data Intelligence and Cognitive Informatics
language:
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Author:

Bhandi Vijayakumar,Sumithra Devi K. A.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8530-2_57

Reference26 articles.

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3. Oujaoura M (2013) Color, texture and shape descriptor fusion with Bayesian network classifier for automatic image annotation. Int J Adv Comput Sci Appl 12(4):22–29

4. Diao Z, Zheng A, Wu Y (2011) Shape feature extraction of wheat leaf disease based on invariant moment theory. In: 5th computer and computing technologies in agriculture (CCTA). Beijing, China, pp 168–173. https://doi.org/10.1007/978-3-642-27278-3-18f

5. He Y, Xueliang L, Richang H (2016) Image classification via fusing the latent deep CNN feature. In: Proceedings of the international conference on internet multimedia computing and service. ICIMCS, Xian, China, pp 110–113 https://doi.org/10.1145/3007669.3007706

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