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    Author information
    First name: Bing Hu
    Last name: 0001
    DBLP: 25/5631-1
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    Below you find the publications which have been written by this author.

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    Journal article
    Mohammad Shokoohi-Yekta, Bing Hu 0001, Hongxia Jin, Jun Wang, Eamonn J. Keogh.
    Generalizing DTW to the multi-dimensional case requires an adaptive approach.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh.
    Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
    Data Min. Knowl. Discov. 2015, Volume 29 (0) 2015
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh.
    Establishing the provenance of historical manuscripts with a novel distance measure.
    Pattern Anal. Appl. 2015, Volume 18 (0) 2015
    Conference paper
    Mohammad Shokoohi-Yekta, Yanping Chen 0005, Bilson J. L. Campana, Bing Hu 0001, Jesin Zakaria, Eamonn J. Keogh.
    Discovery of Meaningful Rules in Time Series.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Xuan Bao, Bin Liu, Bo Tang, Bing Hu 0001, Deguang Kong, Hongxia Jin.
    PinPlace: associate semantic meanings with indoor locations without active fingerprinting.
    Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015, Osaka, Japan, September 7-11, 2015 2015 (0) 2015
    Conference paper
    Yanping Chen 0005, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu 0001, Eamonn J. Keogh.
    A general framework for never-ending learning from time series streams.
    Data Min. Knowl. Discov. 2015, Volume 29 (0) 2015
    Conference paper
    Yanping Chen 0005, Bing Hu 0001, Eamonn J. Keogh, Gustavo E. A. P. A. Batista.
    DTW-D: time series semi-supervised learning from a single example.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Yuan Hao, Yanping Chen 0005, Jesin Zakaria, Bing Hu 0001, Thanawin Rakthanmanon, Eamonn J. Keogh.
    Towards never-ending learning from time series streams.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Bing Hu 0001, Yanping Chen 0005, Eamonn J. Keogh.
    Time Series Classification under More Realistic Assumptions.
    Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA. 2013 (0) 2013
    Conference paper
    Nurjahan Begum, Bing Hu 0001, Thanawin Rakthanmanon, Eamonn J. Keogh.
    Towards a minimum description length based stopping criterion for semi-supervised time series classification.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
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    Your query returned 15 matches in the database.