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Combining crowd-generated media and personal data: semi-supervised learning for context recognition.

, , , and . PDM@ACM Multimedia, page 35-38. ACM, (2013)

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Enhancing action recognition through simultaneous semantic mapping from body-worn motion sensors., , , , and . ISWC, page 99-106. ACM, (2014)Improving online gesture recognition with template matching methods in accelerometer data., , , and . ISDA, page 831-836. IEEE, (2012)Combining crowd-generated media and personal data: semi-supervised learning for context recognition., , , and . PDM@ACM Multimedia, page 35-38. ACM, (2013)Limited-Memory Warping LCSS for Real-Time Low-Power Pattern Recognition in Wireless Nodes., , , , and . EWSN, volume 8965 of Lecture Notes in Computer Science, page 151-167. Springer, (2015)Towards scalable activity recognition: adapting zero-effort crowdsourced acoustic models., , and . MUM, page 18:1-18:10. ACM, (2013)Wearable Activity Recognition with Crowdsourced Annotation.. ETH Zurich, Zürich, Switzerland, (2016)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/120252).Towards a unified system for multimodal activity spotting: challenges and a proposal., , and . UbiComp Adjunct, page 807-816. ACM, (2014)Tagging human activities in video by crowdsourcing., , , and . ICMR, page 263-270. ACM, (2013)M3: Stream Processing on Main-Memory MapReduce., , , , , , and . ICDE, page 1253-1256. IEEE Computer Society, (2012)