ATAL
2011
Springer
12 years 4 months ago
2011
Springer
Distributed systems can often be modeled as a collection of distributed (system) variables whose values are constrained by a set of constraints. In distributed multi-agent systems...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
JDCTA
2010
12 years 11 months ago
2010
Multiview image registration is to compute the globally consistent transformations of a sequence of images. Due to various uncertainties, multiview image registration is considere...
COLING
2010
12 years 11 months ago
2010
This paper investigates the impact of using different temporal algebras for learning temporal relations between events. Specifically, we compare three intervalbased algebras: Alle...
AROBOTS
2011
12 years 11 months ago
2011
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
IJCAI
2003
13 years 5 months ago
2003
We propose a new framework to study properties of consistency in a Constraint Network from the perspective of properties of set intersection. Our framework comes with a proof sche...
ISMIS
1994
Springer
13 years 8 months ago
1994
Springer
Main stream approaches in distributed artificial intelligence (DAI) are essentially logic-based. Little has been reported to explore probabilistic approach in DAI. On the other han...
SKG
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract. Global distributed systems must be standards-based to allow interoperability between all of their components. While this guarantees interoperability, it often causes loca...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we study the following problem: given two source images A and A , and a target image B, can we learn to synthesize a new image B which relates to B in the same way t...