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147
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AI
2000
Springer
15 years 3 months ago
Understanding dynamic scenes
We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, und...
Antonio Chella, Marcello Frixione, Salvatore Gagli...
154
Voted
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 3 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
130
Voted
CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
15 years 3 months ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
108
Voted
IJMMS
1998
137views more  IJMMS 1998»
15 years 3 months ago
A context model for knowledge-intensive case-based reasoning
: Decision-support systems that help solving problems in open and weak theory domains, i.e. hard problems, need improved methods to ground their models in real world situations. Mo...
Pinar Öztürk, Agnar Aamodt
164
Voted
TROB
2010
159views more  TROB 2010»
14 years 10 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto