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Autonomous Behavior-Based Switched Top-Down and Bottom-Up Visual Attention for Mobile Robots.

, , and . IEEE Trans. Robotics, 26 (5): 947-954 (2010)

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Autonomous switching of top-down and bottom-up attention selection for vision guided mobile robots., , , and . IROS, page 4009-4014. IEEE, (2009)Autonomous Behavior-Based Switched Top-Down and Bottom-Up Visual Attention for Mobile Robots., , and . IEEE Trans. Robotics, 26 (5): 947-954 (2010)Looking at the surprise: Bottom-up attentional control of an active camera system., , , , and . ICARCV, page 637-642. IEEE, (2008)Schizophrenia classification with single-trial MEG during language processing., , and . ACSSC, page 354-357. IEEE, (2013)A joint sparse clustering and classification approach with applications to hospitalization prediction., , , , and . CDC, page 4566-4571. IEEE, (2016)Bagging Approach for Italian Domination in $C_n \square\, P_m$., , and . IEEE Access, (2019)Co-Cultured Continuously Bioluminescent Human Cells as Bioreporters for the Detection of Prodrug Therapeutic Impact Pre- and Post-Metabolism., , , , , and . Sensors, 17 (12): 2827 (2017)Multi-focal feature tracking for a human-assisted mobile robot., , , and . RO-MAN, page 861-866. IEEE, (2009)A high-speed multi-GPU implementation of bottom-up attention using CUDA., , , and . ICRA, page 41-47. IEEE, (2009)Environment adapted active multi-focal vision system for object detection., , , , and . ICRA, page 2418-2423. IEEE, (2009)