Search Results - Matthews, I.
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Recognising team activities from noisy data
Bialkowski, A., Lucey, P., Carr, P., Denman, S., Matthews, I., Sridharan, S.Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2013)“…Matthews, I.…”
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Assessing team strategy using spatiotemporal data
Lucey, P., Oliver, D., Carr, P., Roth, J., Matthews, I.Published in 19th ACM SIGKDD Conference on Knowledge, Discovery and Data Mining (KDD) (2013)“…Matthews, I.…”
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Discovering team structures in soccer from spatiotemporal data
Bialkowski, A., Lucey, P., Carr, P., Matthews, I., Sridharan, S., Fookes, C.Published in IEEE Transactions on Knowledge and Data Engineering (2016)“…Matthews, I.…”
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Learning fine-grained spatial models for dynamic sports play prediction
Yue, Y., Lucey, P., Carr, P., Bialkowski, A., Matthews, I.Published in IEEE International Conference on Data Mining (ICDM) (2014)“…Matthews, I.…”
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Large-scale analysis of soccer matches using spatiotemporal tracking data
Bialkowski, A., Lucey, P., Carr, P., Yue, Y., Matthews, I.Published in IEEE International Conference on Data Mining (ICDM) (2014)“…Matthews, I.…”
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How to get an open shot: Analyzing team movement in basketball using tracking data
Lucey, P., Bialkowski, A., Carr, P., Yue, Y., Matthews, I.Published in MIT Sloan Sports Analytics Conference 2014 (2014)“…Matthews, I.…”
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Bilinear spatiotemporal basis models
Akhter, I., Simon, T., Khan, S., Matthews, I., Sheik, Y.Published in ACM Transactions on Graphics (TOG) archive (2012)“…Matthews, I.…”
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