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» Boosting Methods for Regression
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124
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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 1 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
115
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
98
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
122
Voted
CVPR
2008
IEEE
15 years 29 days ago
Hallucinating 3D facial shapes
This paper focuses on hallucinating a facial shape from a low-resolution 3D facial shape. Firstly, we give a constrained conformal embedding of 3D shape in R2 , which establishes ...
Gang Pan, Song Han, Zhaohui Wu
97
Voted
BMCBI
2008
95views more  BMCBI 2008»
15 years 28 days ago
Universal seeds for cDNA-to-genome comparison
Background: To meet the needs of gene annotation for newly sequenced organisms, optimized spaced seeds can be implemented into cross-species sequence alignment programs to accurat...
Leming Zhou, Jonathan Stanton, Liliana Florea