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VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
16 years 3 days ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
NIPS
2008
15 years 7 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ICC
2009
IEEE
132views Communications» more  ICC 2009»
16 years 27 days ago
Resource Management in Stargate-Based Ethernet Passive Optical Networks (SG-EPONs)
—At present there is a strong worldwide push toward bringing fiber closer to individual homes and businesses. Another evolutionary step is the cost-effective all-optical integra...
Lehan Meng, Chadi Assi, Martin Maier, Ahmad R. Dha...
RTAS
2002
IEEE
15 years 11 months ago
Feedback Scheduling of Model Predictive Controllers
The paper presents some preliminary results on dynamic scheduling of model predictive controllers (MPCs). In an MPC, the control signal is obtained by on-line optimization of a co...
Dan Henriksson, Anton Cervin, Johan Åkesson,...
CVPR
2008
IEEE
16 years 8 months ago
Shape prior segmentation of multiple objects with graph cuts
We present a new shape prior segmentation method using graph cuts capable of segmenting multiple objects. The shape prior energy is based on a shape distance popular with level se...
Nhat Vu, B. S. Manjunath
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