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RAS
2007
148views more  RAS 2007»
13 years 8 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...
JOCN
2010
126views more  JOCN 2010»
13 years 7 months ago
Evidence for Early Morphological Decomposition in Visual Word Recognition
■ We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affi...
Olla Solomyak, Alec Marantz
MICCAI
2010
Springer
13 years 7 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 7 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
TOMACS
2010
182views more  TOMACS 2010»
13 years 7 months ago
State-dependent importance sampling for a Jackson tandem network
This paper considers importance sampling as a tool for rare-event simulation. The focus is on estimating the probability of overflow in the downstream queue of a Jacksonian two-n...
Denis I. Miretskiy, Werner R. W. Scheinhardt, Mich...