Combining Generative/Discriminative Learning for Automatic Image Annotation and Retrieval

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ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org

"Combining Generative/Discriminative Learning for Automatic Image Annotation and Retrieval"
written by Zhixin Li, Zhenjun Tang, Weizhong Zhao, Zhiqing Li,
published by International Journal of Intelligence Science, Vol.2 No.3, 2012

has been cited by the following article(s):

[1]	Semantic Image Analysis for Automatic Image Annotation
	2021

[2]	Identification and Extraction of Digital Forensic Evidence from Multimedia Data Sources using Multi-algorithmic Fusion.
	ICISSP, 2019

[3]	Identification and extraction of digital forensic evidence from multimedia data sources using multi-algorithmic fusion
	2019

[4]	An object-based multimedia forensic analysis tool
	2019

[5]	Fuzzy VA-Files for multi-label image annotation based on visual content of regions
	Signal, Image and Video Processing, 2018

[6]	Human Pose Recognition Based on Depth Image Multifeature Fusion
	2018

[7]	A Survey: Image Indexing and Retrieval Using Automated Annotation
	2017

[8]	Image recommendation based on keyword relevance using absorbing Markov chain and image features
	International Journal of Multimedia Information Retrieval, 2016

[9]	Automatic Multi-Label Image Annotation System Guided by Firefly Algorithm and Bayesian Classifier
	2016

[10]	Text-based, Content-based, and Semantic-based Image Retrievals: A Survey
	2015

[11]	Combining Generative And Discriminative Classifiers For Semantic Automatic Image Annotation
	International Journal of Image Processing (IJIP), 2014

[1]	Intelligent Systems in Big Data, Semantic Web and Machine Learning Advances in Intelligent Systems and Computing, 2021 DOI:10.1007/978-3-030-72588-4_4

[2]	Fuzzy VA-Files for multi-label image annotation based on visual content of regions Signal, Image and Video Processing, 2018 DOI:10.1007/s11760-017-1233-1

[3]	Human Pose Recognition Based on Depth Image Multifeature Fusion Complexity, 2018 DOI:10.1155/2018/6271348

[4]	Image recommendation based on keyword relevance using absorbing Markov chain and image features International Journal of Multimedia Information Retrieval, 2016 DOI:10.1007/s13735-016-0104-9

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