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PAMI
2008
174views more  PAMI 2008»
13 years 4 months ago
Geometric Observers for Dynamically Evolving Curves
Abstract-- This paper proposes a deterministic observer design for visual tracking based on non-parametric implicit (level-set) curve descriptions. The observer is continuous-discr...
Marc Niethammer, Patricio A. Vela, Allen Tannenbau...
CSDA
2008
110views more  CSDA 2008»
13 years 5 months ago
Bootstrap confidence intervals for principal response curves
The principal response curve (PRC) model is of use to analyse multivariate data resulting from experiments involving repeated sampling in time. The time-dependent treatment effect...
Marieke E. Timmerman, Cajo J. F. ter Braak
MA
2010
Springer
135views Communications» more  MA 2010»
13 years 4 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute
SAC
2008
ACM
13 years 5 months ago
Local linear regression with adaptive orthogonal fitting for the wind power application
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Mads...
ICIP
2003
IEEE
14 years 7 months ago
Incorporating complex statistical information in active contour-based image segmentation
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...