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» Boosting Methods for Regression
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139
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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
16 years 18 days ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
BMCBI
2006
169views more  BMCBI 2006»
15 years 3 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
124
Voted
BMCBI
2007
113views more  BMCBI 2007»
15 years 3 months ago
Statistical tools for transgene copy number estimation based on real-time PCR
Background: As compared with traditional transgene copy number detection technologies such as Southern blot analysis, real-time PCR provides a fast, inexpensive and high-throughpu...
Joshua S. Yuan, Jason N. Burris, Nathan R. Stewart...
155
Voted
CIKM
2010
Springer
15 years 25 days ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
212
Voted
ICCV
2009
IEEE
1849views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Simultaneous Color Consistency and Depth Map Estimation for Radiometrically Varying Stereo Images
In this paper, we propose a new method that infers accurate depth maps and color-consistent images between radiometrically varying stereo images, simultaneously. In general, stereo...
Yong Seok Heo (Seoul National University), Kyoung ...