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CVPR
2000
IEEE
13 years 8 months ago
Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems
This paper addresses the derivation of likelihood functions and confidence bounds for problems involving overdetermined linear systems with noise in all measurements, often referr...
Oscar Nestares, David J. Fleet, David J. Heeger
CSDA
2007
96views more  CSDA 2007»
13 years 4 months ago
On a quadratic eigenproblem occurring in regularized total least squares
In a recent paper Sima, Van Huffel and Golub [Regularized total least squares based on quadratic eigenvalue problem solvers. BIT Numerical Mathematics 44, 793 - 812 (2004)] sugges...
J. Lampe, H. Voss
ICIP
2001
IEEE
14 years 6 months ago
Improving motion and orientation estimation using an equilibrated total least squares approach
This paper outlines the ubiquitous presence of generalized orientation (or subspace) estimationproblems in image analysis. We show the potential sources of bias in naive approache...
Matthias Mühlich, Rudolf Mester
TEC
2008
115views more  TEC 2008»
13 years 4 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
TSP
2008
119views more  TSP 2008»
13 years 4 months ago
Universal Weighted MSE Improvement of the Least-Squares Estimator
Since the seminal work of Stein in the 1950s, there has been continuing research devoted to improving the total meansquared error (MSE) of the least-squares (LS) estimator in the l...
Yonina C. Eldar