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Context-based scene recognition from visual data in smart homes: an Information Fusion approach.

, , , , and . Pers. Ubiquitous Comput., 16 (7): 835-857 (2012)

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Context-based scene recognition from visual data in smart homes: an Information Fusion approach., , , , and . Pers. Ubiquitous Comput., 16 (7): 835-857 (2012)A Multi-agent Architecture Based on the BDI Model for Data Fusion in Visual Sensor Networks., , , and . J. Intell. Robotic Syst., 62 (3-4): 299-328 (2011)A stopping criterion for multi-objective optimization evolutionary algorithms., , , and . Inf. Sci., (2016)Ground Target Tracking Applications. Design Examples for Military and Civil Domains., , and . Context-Enhanced Information Fusion, Springer, (2016)Architectural Aspects for Context Exploitation in Information Fusion., , and . Context-Enhanced Information Fusion, Springer, (2016)A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques., , , and . EURASIP J. Adv. Signal Process., 2005 (14): 2341-2358 (2005)Context Data to Improve Association in Visual Tracking Systems., , , and . IWINAC (2), volume 4528 of Lecture Notes in Computer Science, page 212-221. Springer, (2007)Multi-agent Data Fusion Architecture Proposal for Obtaining an Integrated Navigated Solution on UAV's., , and . IWANN (2), volume 5518 of Lecture Notes in Computer Science, page 13-20. Springer, (2009)Segmentation optimization in trajectory-based ship classification., , , and . J. Comput. Sci., (2022)Introducing a robust and efficient stopping criterion for MOEAs., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)