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» Learning Methods for DNA Binding in Computational Biology
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PPSN
2004
Springer
15 years 3 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
BMCBI
2007
154views more  BMCBI 2007»
14 years 9 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
BMCBI
2007
136views more  BMCBI 2007»
14 years 9 months ago
Genomorama: genome visualization and analysis
Background: The ability to visualize genomic features and design experimental assays that can target specific regions of a genome is essential for modern biology. To assist in the...
Jason D. Gans, Murray Wolinsky
CVPR
2012
IEEE
13 years 4 days ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...
BMCBI
2007
138views more  BMCBI 2007»
14 years 9 months ago
Fast computation of distance estimators
Background: Some distance methods are among the most commonly used methods for reconstructing phylogenetic trees from sequence data. The input to a distance method is a distance m...
Isaac Elias, Jens Lagergren