Search Results - Matthews, I.
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1
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)congress proceedings“…Matthews, I.…”
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2
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)congress proceedings“…Matthews, I.…”
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3
Representing and discovering adversarial team behaviors using player roles
Lucey, P., Bialkowski, A., Carr, P., Morgan, S., Matthews, I., Sheikh, Y.Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2013)congress proceedings“…Matthews, I.…”
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4
Characterizing multi-agent team behavior from partial team tracings: Evidence from the English Premier League
Lucey, P., Bialkowski, A., Carr, P., Matthews, I., Sheikh, Y.Published in 26th AAAI Conference on Artificial Intelligence (2012)congress proceedings“…Matthews, I.…”
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5
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)article“…Matthews, I.…”
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6
"Quality vs quantity": Improved shot prediction in soccer using strategic features from spatiotemporal data
Lucey, P., Bialkowski, A., Monfort, M., Carr, P., Matthews, I.Published in MIT Sloan Sports Analytics Conference 2015 (2015)congress proceedings“…Matthews, I.…”
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7
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)congress proceedings“…Matthews, I.…”
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8
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)congress proceedings“…Matthews, I.…”
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9
Identifying team style in soccer using formations learned from spatiotemporal tracking data
Bialkowski, A., Lucey, P., Yue, Y., Matthews, I.Published in IEEE International Conference on Data Mining (ICDM) (2014)congress proceedings“…Matthews, I.…”
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10
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)congress proceedings“…Matthews, I.…”
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11
Win at home and draw away: Automatic formation analysis highlighting the differences in home and away team behaviors
Bialkowski, A., Lucey, P., Carr, P., Yue, Y., Matthews, I.Published in MIT Sloan Sports Analytics Conference 2014 (2014)congress proceedings“…Matthews, I.…”
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12
Predicting ball ownership in basketball from a monocular view using only player trajectories
Wei, X., Sha, L., Lucey, P., Carr, P., Sridharan, S., Matthews, I.Published in IEEE International Conference on Computer Vision (ICCV) Workshops, 2015, Santiago (2015)congress proceedings“…Matthews, I.…”
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13
Bilinear spatiotemporal basis models
Akhter, I., Simon, T., Khan, S., Matthews, I., Sheik, Y.Published in ACM Transactions on Graphics (TOG) archive (2012)article“…Matthews, I.…”
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mathematic-logical model
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game action
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