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» Uncertainty in Knowledge Provenance
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IPMI
2009
Springer
14 years 10 months ago
Neural Tractography Using An Unscented Kalman Filter
We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel indepen...
James G. Malcolm, Martha Elizabeth Shenton, Yogesh...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 10 months ago
Probabilistic frequent itemset mining in uncertain databases
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Andreas Züfle, Florian Verhein, Hans-Peter Kr...
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 4 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
14 years 4 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
14 years 4 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss