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» Confidence interval approach to feature re-weighting
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MTA
2008
77views more  MTA 2008»
13 years 3 months ago
Confidence interval approach to feature re-weighting
Robert S. Lee, Chin-Wan Chung, Seok-Lyong Lee, San...
BMCBI
2007
105views more  BMCBI 2007»
13 years 3 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
ICCV
2007
IEEE
14 years 5 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
IIS
2000
13 years 5 months ago
Optimization and Interpretation of Rule-based Classifiers
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...
CVPR
2009
IEEE
13 years 7 months ago
Dual distributions of multilinear geometric entities
In this paper, we propose how the parameter distributions of multilinear geometric entities can be dualised. The dualisation concern, for example, the parameter distributions of c...
Sami S. Brandt