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KI
2001
Springer
14 years 1 months ago
Belief Update in the pGOLOG Framework
High-level controllers that operate robots in dynamic, uncertain domains are concerned with at least two reasoning tasks dealing with the effects of noisy sensors and effectors: T...
Henrik Grosskreutz, Gerhard Lakemeyer
ICIP
1999
IEEE
14 years 10 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
ICPR
2006
IEEE
14 years 9 months ago
A Unified Formulation of Invariant Point Pattern Matching
We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model....
Terry Caelli, Tibério S. Caetano
ISIPTA
2003
IEEE
14 years 2 months ago
Geometry of Upper Probabilities
In this paper we adopt the geometric approach to the theory of evidence to study the geometric counterparts of the plausibility functions, or upper probabilities. The computation ...
Fabio Cuzzolin
ECAI
2000
Springer
14 years 1 months ago
Turning High-Level Plans into Robot Programs in Uncertain Domains
The actions of a robot like lifting an object are often best thought of as low-level processes with uncertain outcome. A highlevel robot plan can be seen as a description of a task...
Henrik Grosskreutz, Gerhard Lakemeyer