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» Boosting Methods for Regression
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155
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ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 1 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
128
Voted
ICIP
2005
IEEE
16 years 4 months ago
Locally adaptive multiscale contrast optimization
We describe a method for automatically and adaptively boosting the visibility of local features in an image. A log intensity image is first decomposed into a set of subbands at mu...
Nicolas Bonnier, Eero P. Simoncelli
166
Voted
ICPR
2006
IEEE
16 years 3 months ago
Patch-Based Gabor Fisher Classifier for Face Recognition
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...
Shiguang Shan, Wen Gao, Xilin Chen, Yu Su
CVPR
2009
IEEE
15 years 9 months ago
Contextualizing histogram
In this paper, we investigate how to incorporate spatial and/or temporal contextual information into classical histogram features with the aim of boosting visual classification p...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim
122
Voted
ICTAI
2007
IEEE
15 years 9 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...