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» Algorithms for Learning Kernels Based on Centered Alignment
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CVPR
2006
IEEE
14 years 9 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ECML
2003
Springer
14 years 27 days ago
Evaluation of Topographic Clustering and Its Kernelization
We consider the topographic clustering task and focus on the problem of its evaluation, which enables to perform model selection: topographic clustering algorithms, from the origin...
Marie-Jeanne Lesot, Florence d'Alché-Buc, G...
COLT
2003
Springer
14 years 27 days ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
LREC
2008
129views Education» more  LREC 2008»
13 years 9 months ago
Induction of Treebank-Aligned Lexical Resources
We describe the induction of lexical resources from unannotated corpora that are aligned with treebank grammars, providing a systematic correspondence between features in the lexi...
Tejaswini Deoskar, Mats Rooth