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RAS
2007
148views more  RAS 2007»
15 years 3 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 5 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
15 years 2 months ago
Probabilistic target detection by camera-equipped UAVs
— This paper is motivated by the real world problem of search and rescue by unmanned aerial vehicles (UAVs). We consider the problem of tracking a static target from a bird’sey...
Andrew Colquhoun Symington, Sonia Waharte, Simon J...
ER
2001
Springer
130views Database» more  ER 2001»
15 years 9 months ago
NF-SS: A Normal Form for Semistructured Schema
Semistructured data is becoming increasingly important for web applications with the development of XML and related technologies. Designing a “good” semistructured database is ...
Xiaoying Wu, Tok Wang Ling, Sin Yeung Lee, Mong-Li...
SUM
2009
Springer
15 years 11 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti