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HYBRID
2007
Springer
14 years 1 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 2 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain
MIA
2010
170views more  MIA 2010»
13 years 2 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
ASIACRYPT
2005
Springer
14 years 1 months ago
Upper Bounds on the Communication Complexity of Optimally Resilient Cryptographic Multiparty Computation
Abstract. We give improved upper bounds on the communication complexity of optimally-resilient secure multiparty computation in the cryptographic model. We consider evaluating an n...
Martin Hirt, Jesper Buus Nielsen
COMCOM
2006
78views more  COMCOM 2006»
13 years 7 months ago
Performance optimization of an adaptive wireless push system in environments with locality of demand
In many data broadcasting applications clients are grouped into several groups, each one located at a different region, with the members of each group having similar demands. This...
Petros Nicopolitidis, Georgios I. Papadimitriou, M...