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ICVGIP
2004
14 years 11 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
PRL
2010
310views more  PRL 2010»
14 years 8 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier
CIARP
2003
Springer
15 years 3 months ago
Robust Estimation of Roughness Parameter in SAR Amplitude Images
The precise knowledge of the statistical properties of synthetic aperture radar (SAR) data plays a central role in image processing and understanding. These properties can be used ...
Héctor Allende, Luis Pizarro
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
HYBRID
2010
Springer
15 years 4 months ago
On integration of event-based estimation and robust MPC in a feedback loop
The main purpose of event-based control, if compared to periodic control, is to minimize data transfer or processing power in networked control systems. Current methods have an (i...
Joris Sijs, Mircea Lazar, W. P. M. H. Heemels