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151
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AUSAI
2006
Springer
15 years 10 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
CIBCB
2008
IEEE
15 years 8 months ago
Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks
The concept of a network motif--a small set of interacting genes which produce a predictable behaviour at the network level--has attracted considerable attention amongst network an...
Jennifer Hallinan, Anil Wipat
169
Voted
CORR
2012
Springer
204views Education» more  CORR 2012»
14 years 2 months ago
A Framework for Optimizing Paper Matching
At the heart of many scientific conferences is the problem of matching submitted papers to suitable reviewers. Arriving at a good assignment is a major and important challenge fo...
Laurent Charlin, Richard S. Zemel, Craig Boutilier
CVPR
2007
IEEE
16 years 8 months ago
Shape from Shading Under Various Imaging Conditions
Most of the shape from shading (SFS) algorithms have been developed under the simplifying assumptions of a Lambertian surface, an orthographic projection, and a distant light sour...
Abdelrehim H. Ahmed, Aly A. Farag
ECCV
2008
Springer
16 years 8 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller