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AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 5 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
ICASSP
2011
IEEE
12 years 8 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
MICCAI
2004
Springer
14 years 5 months ago
Robust Generalized Total Least Squares Iterative Closest Point Registration
Abstract. This paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new General...
Raúl San José Estépar, Anders...
CVPR
2005
IEEE
14 years 7 months ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes
CSDA
2007
117views more  CSDA 2007»
13 years 4 months ago
Smoothing splines estimators in functional linear regression with errors-in-variables
The Total Least Squares method is generalized in the context of the functional linear model. A smoothing splines estimator of the functional coefficient of the model is first prop...
Hervé Cardot, Christophe Crambes, Alois Kne...