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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ROBOCOMM
2007
IEEE
14 years 1 months ago
2007
IEEE
—For the first time, the problem of optimizing energy for communication and motion is investigated. We consider a single mobile robot with continuous high bandwidth wireless com...
DASFAA
2010
IEEE
13 years 11 months ago
2010
IEEE
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
CAD
2007
Springer
13 years 7 months ago
2007
Springer
Systematically generalizing planar geometric algorithms to manifold domains is of fundamental importance in computer aided design field. This paper proposes a novel theoretic fra...
CC
2006
Springer
13 years 11 months ago
2006
Springer
The polyhedral model is known to be a powerful framework to reason about high level loop transformations. Recent developments in optimizing compilers broke some generally accepted ...