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» A reinforcement learning model of selective visual attention
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DAGSTUHL
2006
13 years 9 months ago
Cognitive Vision Needs Attention to Link Sensing with Recognition
Abstract. "Cognitive computer vision is concerned with integration and control of vision systems using explicit but not necessarily symbolic models of context, situation and g...
John K. Tsotsos
MM
2010
ACM
146views Multimedia» more  MM 2010»
13 years 7 months ago
Making computers look the way we look: exploiting visual attention for image understanding
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...
ECAI
2008
Springer
13 years 9 months ago
Reinforcement Learning with the Use of Costly Features
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Robby Goetschalckx, Scott Sanner, Kurt Driessens
ICML
2005
IEEE
14 years 8 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
ICPR
2010
IEEE
14 years 2 months ago
Using Symmetry to Select Fixation Points for Segmentation
For the interpretation of a visual scene, it is important for a robotic system to pay attention to the objects in the scene and segment them from their background. We focus on the...
Gert Kootstra, Niklas Bergström, Danica Kragic