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Distributed control of attention | p. 1 |
Inherent limitations of visual search and the role of inner-scene similarity | p. 16 |
Attentive object detection using an information theoretic saliency measure | p. 29 |
A model of object-based attention that guides active visual search to behaviourally relevant locations | p. 42 |
Learning of position-invariant object representation across attention shifts | p. 57 |
Combining conspicuity maps for hROIs prediction | p. 71 |
Human gaze control in real world search | p. 83 |
The computational neuroscience of visual cognition : attention, memory and reward | p. 100 |
Modeling attention : from computational neuroscience to computer vision | p. 118 |
Towards a biologically plausible active visual search model | p. 133 |
Modeling grouping through interactions between top-down and bottom-up processes : the grouping and selective attention for identification model (G-SAIM) | p. 148 |
TarzaNN : a general purpose neural network simulator for visual attention modeling | p. 159 |
Visual attention for object recognition in spatial 3D data | p. 168 |
A visual attention-based approach for automatic landmark selection and recognition | p. 183 |
Biologically motivated visual selective attention for face localization | p. 196 |
Accumulative computation method for motion features extraction in active selective visual attention | p. 206 |
Fast detection of frequent change in focus of human attention | p. 216 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.