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ICPR
2010
IEEE
15 years 6 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
15 years 5 months ago
Omnidirectional 3D Modeling on a Mobile Robot using Graph Cuts
— For a mobile robot it is a natural task to build a 3D model of its environment. Such a model is not only useful for planning robot actions but also to provide a remote human su...
Sven Fleck, Florian Busch, Peter Biber, Henrik And...
FOCS
2008
IEEE
15 years 6 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. ...
Michael Ben-Or, Avinatan Hassidim
SBP
2010
Springer
15 years 6 months ago
Calibrating Subjective Probabilities Using Hierarchical Bayesian Models
Abstract. A body of psychological research has examined the correspondence between a judge’s subjective probability of an event’s outcome and the event’s actual outcome. The ...
Edgar C. Merkle
CLEAR
2007
Springer
180views Biometrics» more  CLEAR 2007»
15 years 6 months ago
Joint Bayesian Tracking of Head Location and Pose from Low-Resolution Video
Abstract. This paper presents a visual particle filter for jointly tracking the position of a person and her head pose. The resulting information may be used to support automatic ...
Oswald Lanz, Roberto Brunelli