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PAMI
2006
185views more  PAMI 2006»
15 years 6 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
AMAI
2005
Springer
15 years 6 months ago
A SAT approach to query optimization in mediator systems
Mediator systems integrate distributed, heterogeneous and autonomous data sources, but their e ective use requires the solution of hard query optimization problems. This is usuall...
Steven David Prestwich, Stéphane Bressan
175
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COLT
1993
Springer
15 years 10 months ago
Parameterized Learning Complexity
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
Rodney G. Downey, Patricia A. Evans, Michael R. Fe...
BMCBI
2008
114views more  BMCBI 2008»
15 years 6 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale
BMCBI
2006
165views more  BMCBI 2006»
15 years 6 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...