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» A flexible approach to Bayesian multiple curve fitting
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CSDA
2008
58views more  CSDA 2008»
13 years 4 months ago
A flexible approach to Bayesian multiple curve fitting
Carsten H. Botts, Michael J. Daniels
HLK
2003
IEEE
13 years 10 months ago
Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves
In some applications objects are known to have nonsmooth or “jagged” edges, which are not well approximated by smooth curves. We use subdivision curves as a simple but flexib...
Michael Kaess, Frank Dellaert
CVPR
1999
IEEE
14 years 6 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
BMCBI
2008
105views more  BMCBI 2008»
13 years 4 months ago
A Bayesian method for calculating real-time quantitative PCR calibration curves using absolute plasmid DNA standards
Background: In real-time quantitative PCR studies using absolute plasmid DNA standards, a calibration curve is developed to estimate an unknown DNA concentration. However, potenti...
Mano Sivaganesan, Shawn Seifring, Manju Varma, Ric...
ADAC
2008
193views more  ADAC 2008»
13 years 4 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...