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Exploiting detected visual objects for frame-level video filtering.

, , , , and . World Wide Web, 21 (5): 1259-1284 (2018)

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ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (S)., , , , and . SEKE, page 318-321. Knowledge Systems Institute Graduate School, (2013)WARD@TRECVID 2016., , and . TRECVID, National Institute of Standards and Technology (NIST), (2016)A unified framework with a benchmark dataset for surveillance event detection., , , , , , , and . Neurocomputing, (2018)Incremental Multimodal Query Construction for Video Search., , , , , , , , , and 1 other author(s). ICMR, page 675-678. ACM, (2015)Multiple graph unsupervised feature selection., , , , and . Signal Process., (2016)Informedia @ TRECVID 2014., , , , , , , , , and 21 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2014)An empirical study on user-topic rating based collaborative filtering methods., , , , , and . World Wide Web, 20 (4): 815-829 (2017)Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation., , , , , and . ICDE, page 75-78. IEEE Computer Society, (2017)Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system., , , , , and . Knowl. Based Syst., (2018)Buffer overflow detection for C programs is hard to learn., , , and . ISSTA/ECOOP Workshops, page 8-9. ACM, (2018)