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ICIP
2005
IEEE
15 years 3 months ago
Multispectral loss-less compression using approximation methods
— The large size of multispectral data files is currently a major issue in multispectral imaging. The transmission of multispectral data over networks, as well as the storage of ...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
OPODIS
2008
14 years 11 months ago
Distributed Approximation of Cellular Coverage
Abstract. We consider the following model of cellular networks. Each base station has a given finite capacity, and each client has some demand and profit. A client can be covered b...
Boaz Patt-Shamir, Dror Rawitz, Gabriel Scalosub
UAI
2003
14 years 11 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
AUTOMATICA
2006
98views more  AUTOMATICA 2006»
14 years 10 months ago
Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
Two integrator backstepping designs are presented for digitally controlled continuous-time plants in special form. The controller designs are based on the Euler approximate discre...
Dragan Nesic, Andrew R. Teel
AIA
2007
14 years 11 months ago
Optimizing number of hidden neurons in neural networks
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
Yue Liu, Janusz A. Starzyk, Zhen Zhu