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ESANN
2001
13 years 11 months ago
Canonical correlation analysis in early vision processing
This paper illustrates how canonical correlation analysis can be used for designing efficient visual operators by learning. The approach is highly task oriented and what constitute...
Magnus Borga, Hans Knutsson
ISCIS
2009
Springer
14 years 4 months ago
Predicting future object states using learned affordances
Abstract—The notion of affordances was proposed by J.J. Gibson, to refer to the action possibilities offered to the organism by its environment. In a previous formalization, affo...
Emre Ugur, Erol Sahin, Erhan Oztop
ICTAI
2010
IEEE
13 years 7 months ago
Combining Learning Techniques for Classical Planning: Macro-operators and Entanglements
Planning techniques recorded a significant progress during recent years. However, many planning problems remain still hard even for modern planners. One of the most promising appro...
Lukás Chrpa
AAAI
2000
13 years 11 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
TSE
1998
129views more  TSE 1998»
13 years 9 months ago
Inferring Declarative Requirements Specifications from Operational Scenarios
—Scenarios are increasingly recognized as an effective means for eliciting, validating, and documenting software requirements. This paper concentrates on the use of scenarios for...
Axel van Lamsweerde, Laurent Willemet