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MAPS: Multiscale Attention-Based PreSegmentation of Color Images., and . Scale-Space, volume 2695 of Lecture Notes in Computer Science, page 537-549. Springer, (2003)Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision., , and . DAGM-Symposium, volume 4174 of Lecture Notes in Computer Science, page 314-323. Springer, (2006)iNUIT: Internet of Things for Urban Innovation., , , , and . Future Internet, 8 (2): 18 (2016)Data-Driven Thermal Deviation Prediction in Turning Machine-Tool - A Comparative Analysis of Machine Learning Algorithms., , , , , and . ISM, volume 200 of Procedia Computer Science, page 185-193. Elsevier, (2021)Robot self-localization using visual attention., and . CIRA, page 309-314. IEEE, (2005)Computing Visual Attention from Scene Depth., and . ICPR, page 1375-1378. IEEE Computer Society, (2000)A Model of Dynamic Visual Attention for Object Tracking in Natural Image Sequences., and . IWANN (1), volume 2686 of Lecture Notes in Computer Science, page 702-709. Springer, (2003)Model Performance for Visual Attention in Real 3D Color Scenes., , and . IWINAC (2), volume 3562 of Lecture Notes in Computer Science, page 469-478. Springer, (2005)Dynamic Street Light Management: Towards a citizen centred approach., , , , and . Hybrid City, page 175-178. nethood.org / National and Kapodistrian University of Athens, (2015)A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition., , , and . WAPCV, volume 3368 of Lecture Notes in Computer Science, page 183-195. Springer, (2004)