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» Boosting Methods for Regression
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DAGM
2008
Springer
13 years 11 months ago
Example-Based Learning for Single-Image Super-Resolution
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Kwang In Kim, Younghee Kwon
SEMCO
2008
IEEE
14 years 4 months ago
Text Categorization Based on Boosting Association Rules
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
Yongwook Yoon, Gary Geunbae Lee
WACV
2002
IEEE
14 years 2 months ago
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to ...
Lei Zhang, Mingjing Li, HongJiang Zhang
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
HAIS
2010
Springer
13 years 12 months ago
Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
Electric grids are moving from a centralized single supply chain towards a decentralized bidirectional grid of suppliers and consumers in an uncertain and dynamic scenario. Soon, t...
Oliver Kramer, Benjamin Satzger, Jörg Lä...