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MIAR
2006
IEEE
15 years 10 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
VISUALIZATION
2005
IEEE
15 years 9 months ago
General Purpose Computation on Graphics Hardware
The rapid increase in the performance of graphics hardware, coupled with recent improvements in its programmability, have made graphics hardware a compelling platform for computat...
Aaron E. Lefohn, Ian Buck, Patrick S. McCormick, J...
PKDD
2005
Springer
85views Data Mining» more  PKDD 2005»
15 years 9 months ago
Improving Generalization by Data Categorization
In most of the learning algorithms, examples in the training set are treated equally. Some examples, however, carry more reliable or critical information about the target than the ...
Ling Li, Amrit Pratap, Hsuan-Tien Lin, Yaser S. Ab...
VL
2003
IEEE
126views Visual Languages» more  VL 2003»
15 years 9 months ago
Generalizing WYSIWYT visual testing to screen transition languages
ct How can rigorous forms of testing be supported in a way that is both compatible with the visual aspect of visual programming languages, and usable by the audiences using those l...
Darren Brown, Margaret M. Burnett, Gregg Rothermel...
COLT
2001
Springer
15 years 8 months ago
Geometric Bounds for Generalization in Boosting
We consider geometric conditions on a labeled data set which guarantee that boosting algorithms work well when linear classifiers are used as weak learners. We start by providing ...
Shie Mannor, Ron Meir