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» A Boosting Algorithm for Regression
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ICPR
2000
IEEE
16 years 4 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
ICML
2009
IEEE
16 years 4 months ago
The Bayesian group-Lasso for analyzing contingency tables
Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Ba...
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edga...
ICASSP
2009
IEEE
15 years 10 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
118
Voted
DATE
2008
IEEE
116views Hardware» more  DATE 2008»
15 years 9 months ago
Fast Analog Circuit Synthesis Using Sensitivity Based Near Neighbor Searches
We present an efficient analog synthesis algorithm employing regression models of circuit matrices. Circuit matrix models achieve accurate and speedy synthesis of analog circuits...
Almitra Pradhan, Ranga Vemuri
ICPR
2008
IEEE
15 years 9 months ago
Real-time accurate optical flow-based motion sensor
An accurate real-time motion sensor implemented in an FPGA is introduced in this paper. This sensor applies an optical flow algorithm based on ridge regression to solve the collin...
Zhaoyi Wei, Dah-Jye Lee, Brent E. Nelson, James K....