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AUTOMATICA
2006
81views more  AUTOMATICA 2006»
15 years 6 months ago
An energy-gain bounding approach to robust fuzzy identification
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
Mohit Kumar, Norbert Stoll, Regina Stoll
VISAPP
2007
15 years 7 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
DAC
2009
ACM
16 years 1 months ago
Yield-driven iterative robust circuit optimization algorithm
This paper proposes an equation-based multi-scenario iterative robust optimization methodology for analog/mixed-signal circuits. We show that due to local circuit performance mono...
Yan Li, Vladimir Stojanovic
ICASSP
2007
IEEE
15 years 10 months ago
Robust Matched Filters for Target Detection in Hyperspectral Imaging Data
Most detection algorithms for hyperspectral imaging applications assume a target with a perfectly known spectral signature. In practice, the target signature is either imperfectly...
Dimitris Manolakis, Ronald Lockwood, Thomas Cooley...
ESANN
2007
15 years 8 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...