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» Robust locally linear embedding
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ESANN
2007
14 years 11 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...
ICASSP
2008
IEEE
15 years 4 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
ICPR
2000
IEEE
15 years 2 months ago
Boundary Estimation from Intensity/Color Images with Algebraic Curve Models
A new concept and algorithm are presented for noniterative robust estimation of piecewise smooth curves of maximal edge strength in small image windows – typically  ¢¡£  to...
Tolga Tasdizen, David B. Cooper
70
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ATAL
2008
Springer
14 years 11 months ago
Automated global-to-local programming in 1-D spatial multi-agent systems
A spatial computer is a distributed multi-agent system that is embedded in a geometric space. A key challenge is engineering local agent interaction rules that enable spatial comp...
Daniel Yamins, Radhika Nagpal
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
14 years 9 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness