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IPMI
2005
Springer
16 years 7 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
ICML
2008
IEEE
16 years 7 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
SIGECOM
2009
ACM
73views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
But who will monitor the monitor?
Consider a group of individuals in a strategic environment with moral hazard and adverse selection, and suppose that providing incentives for a given outcome requires a monitor to...
David M. Rahman
ICC
2007
IEEE
136views Communications» more  ICC 2007»
16 years 1 months ago
Multiple-Symbol Differential Detection Based on Combinatorial Geometry
— In this paper, the application of combinatorial geometry to noncoherent multiple–symbol differential detection (MSDD) is considered. The resulting algorithm is referred to as...
Volker Pauli, Lutz H.-J. Lampe, Robert Schober, Ko...
DDECS
2006
IEEE
88views Hardware» more  DDECS 2006»
16 years 25 days ago
Minimization of Large State Spaces using Symbolic Branching Bisimulation
Abstract: Bisimulations in general are a powerful concept to minimize large finite state systems regarding some well-defined observational behavior. In contrast to strong bisimul...
Ralf Wimmer, Marc Herbstritt, Bernd Becker