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Maximum A Posteriori Path Estimation with Input Trace Perturbation: Algorithms and Application to Credible Rating of Human Routines.

, and . IJCAI, page 895-901. Professional Book Center, (2005)

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Energy proportional image sensors for continuous mobile vision., , , , and . MobiSys, page 467-468. ACM, (2013)Recognizing object manipulation activities using depth and visual cues., , , and . J. Vis. Commun. Image Represent., 25 (4): 719-726 (2014)Unobtrusive long-range detection of passive RFID tag motion., , , and . IEEE Trans. Instrumentation and Measurement, 55 (1): 187-196 (2006)Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense., , , , and . AAAI, page 906-912. AAAI Press, (2006)Relational Learning for Collective Classification of Entities in Images., , and . StarAI@AAAI, volume WS-10-06 of AAAI Technical Report, AAAI, (2010)Structure Learning on Large Scale Common Sense Statistical Models of Human State., , and . AAAI, page 1389-1395. AAAI Press, (2008)Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5731-5741. PMLR, (2021)A Scalable Approach to Activity Recognition based on Object Use., , , , and . ICCV, page 1-8. IEEE Computer Society, (2007)ACM HotMobile 2013 demo: NLify: mobile spoken natural language interfaces for everyone., , and . ACM SIGMOBILE Mob. Comput. Commun. Rev., 17 (3): 2 (2013)Common Sense Based Joint Training of Human Activity Recognizers., , , , and . IJCAI, page 2237-2242. (2007)