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Dynamic vocabularies for web-based concept detection by trend discovery.

, , and . ACM Multimedia, page 977-980. ACM, (2012)

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DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks., , , and . CoRR, (2014)EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (7): 2217-2226 (2019)Analysis and Forecasting of Trending Topics in Online Media Streams., , , and . CoRR, (2014)TubeTagger - YouTube-based Concept Detection., , , and . ICDM Workshops, page 190-195. IEEE Computer Society, (2009)Navidgator - Similarity Based Browsing for Image and Video Databases., , , and . KI, volume 5243 of Lecture Notes in Computer Science, page 22-29. Springer, (2008)Trending Topic Aggregation by News-Based Context Modeling., , and . KI, volume 9904 of Lecture Notes in Computer Science, page 162-168. Springer, (2016)Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping., , , , and . ESWC (Satellite Events), volume 9989 of Lecture Notes in Computer Science, (2016)Tag suggestion on youtube by personalizing content-based auto-annotation., , and . CrowdMM@ACM Multimedia, page 41-46. ACM, (2012)Large-scale visual sentiment ontology and detectors using adjective noun pairs., , , , and . ACM Multimedia, page 223-232. ACM, (2013)TubeFiler: an automatic web video categorizer., , , , , , and . ACM Multimedia, page 1111-1112. ACM, (2009)