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152
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AI
2010
Springer
15 years 2 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
162
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ECCV
2004
Springer
16 years 4 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...
129
Voted
BMCBI
2010
137views more  BMCBI 2010»
15 years 2 months ago
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...
Michael L. Sierk, Michael E. Smoot, Ellen J. Bass,...
126
Voted
BMCBI
2006
95views more  BMCBI 2006»
15 years 2 months ago
Discrete profile comparison using information bottleneck
Sequence homologs are an important source of information about proteins. Amino acid profiles, representing the position-specific mutation probabilities found in profiles, are a ri...
Sean O'Rourke, Gal Chechik, Robin Friedman, Eleaza...
QEST
2008
IEEE
15 years 9 months ago
CaVi -- Simulation and Model Checking for Wireless Sensor Networks
CaVi provides a uniform interface to state-of-the-art simulation methods and formal verification methods for wireless sensor network. Simulation is suitable to examine the behavi...
Athanassios Boulis, Ansgar Fehnker, Matthias Fruth...