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» Robust estimators for expression analysis
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ICPR
2000
IEEE
14 years 8 months ago
Reduction of Bias in Maximum Likelihood Ellipse Fitting
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...
Bogdan Matei, Peter Meer
IPPS
2006
IEEE
14 years 1 months ago
Decentralized runtime analysis of multithreaded applications
Violations of a number of common safety properties of multithreaded programs–such as atomicity and absence of dataraces–cannot be observed by looking at the linear execution t...
Koushik Sen, Abhay Vardhan, Gul Agha, Grigore Rosu
IEICET
2010
133views more  IEICET 2010»
13 years 6 months ago
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Evidential modeling for pose estimation
Pose estimation involves reconstructing the configuration of a moving body from images sequences. In this paper we present a general framework for pose estimation of unknown obje...
Fabio Cuzzolin, Ruggero Frezza
ICIAR
2007
Springer
13 years 9 months ago
A Simple Oriented Mean-Shift Algorithm for Tracking
Mean-Shift tracking gained a lot of popularity in computer vision community. This is due to its simplicity and robustness. However, the original formulation does not estimate the o...
Jamil Draréni, Sébastien Roy