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Discovering Team Structures in Soccer from Spatiotemporal Data.

, , , , , and . IEEE Trans. Knowl. Data Eng., 28 (10): 2596-2605 (2016)

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Assessing team strategy using spatiotemporal data., , , , and . KDD, page 1366-1374. ACM, (2013)Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League., , , , and . AAAI, AAAI Press, (2012)Comparing audio and visual information for speech processing., , , and . ISSPA, page 58-61. IEEE, (2005)Predicting Shot Making in Basketball using Convolutional Neural Networks Learnt from Adversarial Multiagent Trajectories., , and . CoRR, (2016)Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories., , , , , and . CoRR, (2017)A Database for Person Re-Identification in Multi-Camera Surveillance Networks., , , , and . DICTA, page 1-8. IEEE, (2012)Estimating Audience Engagement to Predict Movie Ratings., , , and . IEEE Trans. Affect. Comput., 10 (1): 48-59 (2019)Can Audio-Visual Speech Recognition Outperform Acoustically Enhanced Speech Recognition in Automotive Environment?, , , , and . INTERSPEECH, page 2241-2244. ISCA, (2011)A unified approach to multi-pose audio-visual ASR., , and . INTERSPEECH, page 650-653. ISCA, (2007)Understanding and analyzing a large collection of archived swimming videos., , , , and . WACV, page 674-681. IEEE Computer Society, (2014)