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» Boosting Methods for Regression
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ICMLA
2007
13 years 11 months ago
Machine learned regression for abductive DNA sequencing
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
David Thornley, Maxim Zverev, Stavros Petridis
CVPR
2011
IEEE
13 years 6 months ago
Regression-Based Label Fusion for Multi-Atlas Segmentation
Automatic segmentation using multi-atlas label fusion has been widely applied in medical image analysis. To simplify the label fusion problem, most methods implicitly make a stron...
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Alt...
ACL
2000
13 years 11 months ago
Using Confidence Bands for Parallel Texts Alignment
This paper describes a language independent method for alignment of parallel texts that makes use of homograph tokens for each pair of languages. In order to filter out tokens tha...
António Ribeiro, José Gabriel Pereir...
CVPR
2007
IEEE
15 years 1 days ago
Face Recognition Using Kernel Ridge Regression
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition...
Senjian An, Wanquan Liu, Svetha Venkatesh
CIKM
2007
Springer
14 years 4 months ago
Regularized locality preserving indexing via spectral regression
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han