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» Robust designs for series estimation
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ICASSP
2008
IEEE
14 years 3 months ago
Sequential experimental design for misspecified nonlinear models
In design of experiments for nonlinear regression model identification, the design criterion depends on the unknown parameters to be identified. Classical strategies consist in ...
H. ElAbiad, Laurent Le Brusquet, Marie-Eve Davoust
IJCV
2000
230views more  IJCV 2000»
13 years 8 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
CCE
2005
13 years 9 months ago
Development and application of linear process model in estimation and control of reactive distillation
This paper presents a comprehensive formulation of a linearized state space process model for a generic two-reactant-two-product reactive distillation system. The development of t...
Moshood J. Olanrewaju, Muhammad A. Al-Arfaj
ICASSP
2008
IEEE
14 years 3 months ago
Multi-source DOA estimation in a reverberant room
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
Andreas M. Ali, Ralph E. Hudson, Kung Yao
BMCBI
2010
108views more  BMCBI 2010»
13 years 9 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...