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Recognizing object manipulation activities using depth and visual cues., , , и . J. Vis. Commun. Image Represent., 25 (4): 719-726 (2014)Energy proportional image sensors for continuous mobile vision., , , , и . MobiSys, стр. 467-468. ACM, (2013)Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense., , , , и . AAAI, стр. 906-912. AAAI Press, (2006)Relational Learning for Collective Classification of Entities in Images., , и . StarAI@AAAI, том WS-10-06 из AAAI Technical Report, AAAI, (2010)Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 5731-5741. PMLR, (2021)A Scalable Approach to Activity Recognition based on Object Use., , , , и . ICCV, стр. 1-8. IEEE Computer Society, (2007)Structure Learning on Large Scale Common Sense Statistical Models of Human State., , и . AAAI, стр. 1389-1395. AAAI Press, (2008)Automatic staged compilation.. University of Washington, USA, (2005)Maximum A Posteriori Path Estimation with Input Trace Perturbation: Algorithms and Application to Credible Rating of Human Routines., и . IJCAI, стр. 895-901. Professional Book Center, (2005)Common Sense Based Joint Training of Human Activity Recognizers., , , , и . IJCAI, стр. 2237-2242. (2007)