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Target registration error for rigid shape-based registration with heteroscedastic noise
SPIE Proceedings, 2014We propose an analytic equation for approximating expected root mean square (RMS) target registration error (TRE) for rigid shape-based registration where measured noisy data points are matched to a rigid shape. The noise distribution of the data points is assumed to be zero-mean, independent, and non-identical; i.e., the noise covariance may be ...
Burton Ma, Joy Choi, Hong Ming Huai
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Minimax detection of a signal in the heteroscedastic Gaussian white noise
Journal of Mathematical Sciences, 2006We consider the problem of signal detection in the heteroscedastic Gaussian white noise when the set of alternatives is essentially nonparametric. In this setting, we find a family of asymptotically minimax tests. The results are extended to the case of testing a parametric hypothesis against nonparametric sets of alternatives. Bibliography: 8 titles.
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Expensive multiobjective optimization for robotics with consideration of heteroscedastic noise
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014Ryo Ariizumi +3 more
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Smoothing methods applied to dealing with heteroscedastic noise in GC/MS
Chemometrics and Intelligent Laboratory Systems, 2002Foo-Tim Chau +2 more
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The effect of heteroscedastic noise on the chemometric modelling of frequency domain data
Chemometrics and Intelligent Laboratory Systems, 1998Douglas Kell +2 more
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Two-Stage Local Polynomial Regression Method for Image Heteroscedastic Noise Removal
Advanced Materials Research, 2014Chun Hua Wang
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