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Indoor human activity recognition using high-dimensional sensors and deep neural networks.

, , , , , and . Neural Comput. Appl., 32 (16): 12295-12309 (2020)

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Spatio-Temporal Wardrobe Generation of Actors' Clothing in Video Content., , , , and . HCI (3), volume 9733 of Lecture Notes in Computer Science, page 448-459. Springer, (2016)An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks., , , , , and . ICMR, page 409-412. ACM, (2016)Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes., , , , and . EANN, volume 893 of Communications in Computer and Information Science, page 16-27. Springer, (2018)Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering., , , , and . MediaEval, volume 1043 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression., , , , , , , , , and . EMBC, page 674-677. IEEE, (2018)Automatic GEO-MASHUP generation of outdoor activities., , , , , and . MoMM, page 100. ACM, (2013)The Rise of Mobile Social Video: An In-depth Analysis of Vine., , , , and . SoMuS@ICMR, volume 1198 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features., , , , and . MediaEval, volume 1263 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations., , , and . NUT@IJCNLP, page 146-153. Association for Computational Linguistics, (2015)Indoor human activity recognition using high-dimensional sensors and deep neural networks., , , , , and . Neural Comput. Appl., 32 (16): 12295-12309 (2020)