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» Exploiting N-Gram Analysis to Predict Operator Sequences
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BMCBI
2010
119views more  BMCBI 2010»
13 years 6 months ago
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Background: Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key...
Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, ...
LREC
2008
131views Education» more  LREC 2008»
13 years 8 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
BMCBI
2008
129views more  BMCBI 2008»
13 years 6 months ago
Triad pattern algorithm for predicting strong promoter candidates in bacterial genomes
Background: Bacterial promoters, which increase the efficiency of gene expression, differ from other promoters by several characteristics. This difference, not yet widely exploite...
Michael Dekhtyar, Amelie Morin, Vehary Sakanyan
PAMI
2007
131views more  PAMI 2007»
13 years 6 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
CAIP
2009
Springer
146views Image Analysis» more  CAIP 2009»
13 years 10 months ago
Rapid Classification of Surface Reflectance from Image Velocities
We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image da...
Katja Doerschner, Daniel Kersten, Paul R. Schrater