273 search results - page 6 / 55 » A reinforcement learning model of selective visual attention |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
MM
2005
ACM
14 years 1 months ago
2005
ACM
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
FLAIRS
2004
13 years 9 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by...