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» Combining Learned Discrete and Continuous Action Models
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ATAL
2009
Springer
15 years 11 months ago
Improving adjustable autonomy strategies for time-critical domains
As agents begin to perform complex tasks alongside humans as collaborative teammates, it becomes crucial that the resulting humanmultiagent teams adapt to time-critical domains. I...
Nathan Schurr, Janusz Marecki, Milind Tambe
AGENTS
1998
Springer
15 years 8 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
SCVMA
2004
Springer
15 years 9 months ago
2D Motion Description and Contextual Motion Analysis: Issues and New Models
Abstract. In this paper, several important issues related to visual motion analysis are addressed with a focus on the type of motion information to be estimated and the way context...
Patrick Bouthemy
ICIP
2007
IEEE
16 years 6 months ago
Enhancement of Medical Images by the Paired Transform
In this paper, we discuss the application of the two-dimensio- nal paired representation for processing medical images. This representation leads to the effective solution of the ...
Fatma Arslan, Artyom M. Grigoryan
DAGM
2006
Springer
15 years 8 months ago
Near Real-Time Motion Segmentation Using Graph Cuts
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...
Thomas Schoenemann, Daniel Cremers