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RAS
2007
148views more  RAS 2007»
15 years 1 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 3 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 12 days 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 6 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 8 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