UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition

S. Bashir, Daniel Doolan, A. Petrovski

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    1 Citation (Scopus)
    Original languageEnglish
    Title of host publicationProceedings of 14th International Conference on Advances in Mobile Computing and Multi Media
    EditorsBessam Abdulrazak, Matthias Steinbauer, Ismail Khalil, Eric Pardede, Gabriele Anderst-Kotsis
    PublisherAssociation for Computing Machinery
    Pages20-27
    Number of pages8
    ISBN (Electronic)9781450348065
    ISBN (Print)978-1-4503-4806-5
    DOIs
    Publication statusPublished (VoR) - 28 Nov 2016
    Event14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016 - Singapore, Singapore
    Duration: 28 Nov 201630 Nov 2016

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016
    Country/TerritorySingapore
    CitySingapore
    Period28/11/1630/11/16

    Keywords

    • Activity recognition
    • Concept change detection
    • Machine learning algorithms

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