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TIP
2010
127views more  TIP 2010»
13 years 5 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 2 months ago
Competitive and Deterministic Embeddings of Virtual Networks
Network virtualization is a paradigm that allows for flexible and efficient allocation of the resources among multiple virtual networks (VNets). In this paper we deal with the p...
Guy Even, Moti Medina, Gregor Schaffrath, Stefan S...
CEC
2011
IEEE
12 years 7 months ago
Comparing alternative energy functions for the HP model of protein structure prediction
Abstract—Protein structure prediction is the problem of finding the functional conformation of a protein given only its amino uence. The HP lattice model is an abstract formulat...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
ATAL
2010
Springer
13 years 8 months ago
Decision making with dynamically arriving information
Decision making is the ability to decide on the best alternative among a set of candidates based on their value. In many real-world domains the value depends on events that occur ...
Meir Kalech, Avi Pfeffer
ISLPED
2003
ACM
85views Hardware» more  ISLPED 2003»
14 years 24 days ago
Low power coordination in wireless ad-hoc networks
Distributed wireless ad-hoc networks (DWANs) pose numerous technical challenges. Among them, two are widely considered as crucial: autonomous localized operation and minimization ...
Farinaz Koushanfar, Abhijit Davare, Dai Tho Nguyen...