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ACIVS
2006
Springer
14 years 1 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
MVA
2008
140views Computer Vision» more  MVA 2008»
13 years 9 months ago
An occlusion metric for selecting robust camera configurations
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...
Xing Chen, James Davis
AIPS
2000
13 years 11 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
ANLP
2000
108views more  ANLP 2000»
13 years 11 months ago
A Weighted Robust Parsing Approach to Semantic Annotation
This paper proposes a grammar-based approach to semantic annotation which combines the notions of robust parsing and fuzzy grammars. We present an overview of a preliminary resear...
Hatem Ghorbel, Vincenzo Pallotta
CP
2008
Springer
13 years 11 months ago
Probabilistically Estimating Backbones and Variable Bias: Experimental Overview
Backbone variables have the same assignment in all solutions to a given constraint satisfaction problem; more generally, bias represents the proportion of solutions that assign a v...
Eric I. Hsu, Christian J. Muise, J. Christopher Be...