Identifying image tags from instagram hashtags using the HITS algorithm
Authors: Ntalianis, Klimis 
Giannoulakis, Stamatios 
Tsapatsoulis, Nicolas 
Publisher: IEEE
Issue Date: 29-Mar-2018
Conference: 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 06-10 November 2017, Orlando, FL, USA 
Book: Proceedings of the 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) 
Keywords: Bipartite network, Graphs, Hashtags, HITS algorithm, Image retrieval, Image tagging, Instagram, Machine learning
Abstract: 
Many automatic image annotation methods are based on the learning by example paradigm. Image tagging, through manual image inspection, is the first step towards this end. However, manual image annotation, even for creating the training sets, is time-consuming, complicated and contains human subjectivity errors. Thus, alternative ways for automatically creating training examples, i.e., pairs of ima...
ISBN: 978-1-5386-1956-8
DOI: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.29
URI: https://uniwacris.uniwa.gr/handle/3000/2850
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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