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Chained ensemble classifier for image annotation

Published:2019-06-07 Issue:18 Volume:78 Page:26263-26285
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Marin-Castro Heidy M.,Hernandez-Resendiz Jaciel D.,Escalante-Balderas Hugo J.,Pellegrin Luis,Tello-Leal Edgar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-07815-7.pdf

Reference41 articles.

1. Alham NK, Li M, Hammoud S, Qi H (2009) Evaluating machine learning techniques for automatic image annotations. In: 6th international conference on fuzzy systems and knowledge discovery, 2009. FSKD’09, vol 7, IEEE, pp 245–249

2. Anne-Marie Tousch J-YA (2012) Stéphane Herbin, semantic hierarchies for image annotation: A survey. Pattern Recogn 45:333–345

3. Ballan L, Uricchio T, Seidenari L, Del Bimbo A (2014) A cross-media model for automatic image annotation. In: Proceedings of international conference on multimedia retrieval, ACM, p 73

4. Behera RN, Roy M, Dash S (2016) Ensemble based hybrid machine learning approach for sentiment classification-a review. Int J Comput Appl 146(6):31–36. https://doi.org/10.5120/ijca2016910813

5. Chawla N V, Bowyer K W, Hall L O, Kegelmeyer W P (2002) Smote: Synthetic minority over-sampling technique. J Artif Intell Res 16:321–357

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