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» An Overview of Associative Classifiers
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91
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NAR
2010
107views more  NAR 2010»
14 years 4 months ago
FlyTF: improved annotation and enhanced functionality of the Drosophila transcription factor database
FlyTF (http://www.flytf.org) is a database of computationally predicted and/or experimentally verified site-specific transcription factors (TFs) in the fruit fly Drosophila melano...
Ulrike Pfreundt, Daniel P. James, Susan Tweedie, D...
TIP
2010
164views more  TIP 2010»
14 years 4 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
129
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier
IVC
2008
141views more  IVC 2008»
14 years 9 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
84
Voted
CIKM
2011
Springer
13 years 9 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld