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VLSM
2005
Springer
14 years 2 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
NIPS
2003
13 years 10 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
ML
2010
ACM
147views Machine Learning» more  ML 2010»
13 years 3 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
ACISICIS
2005
IEEE
14 years 2 months ago
Modeling Uncertainty in Context-Aware Computing
Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this pape...
Binh An Truong, Young-Koo Lee, Sungyoung Lee
ICRA
1999
IEEE
118views Robotics» more  ICRA 1999»
14 years 1 months ago
Rapid Physics-Based Rough-Terrain Rover Planning with Sensor and Control Uncertainty
In future planetary exploration missions, rovers will be required to autonomously traverse challenging environments. Much of the previous work in robot motion planning cannot be s...
Karl Iagnemma, Frank Génot, Steven Dubowsky