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» Modeling and predicting pointing errors in two dimensions
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CSDA
2007
100views more  CSDA 2007»
13 years 7 months ago
Estimation in a linear multivariate measurement error model with a change point in the data
A linear multivariate measurement error model AX = B is considered. The errors in A B are row-wise finite dependent, and within each row, the errors may be correlated. Some of th...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
CHI
2004
ACM
14 years 8 months ago
Pointing at trivariate targets in 3D environments
We investigate pointing in true 3D environments where the target size varies in three spatial dimensions. We also study the effect of the user's physical movement angle on po...
Tovi Grossman, Ravin Balakrishnan
CSDA
2008
94views more  CSDA 2008»
13 years 7 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
GLOBECOM
2009
IEEE
13 years 11 months ago
Near-ML Detection over a Reduced Dimension Hypersphere
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer
GECCO
2010
Springer
225views Optimization» more  GECCO 2010»
13 years 7 months ago
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noiseless testbed
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
Raymond Ros