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TIP
2008
169views more  TIP 2008»
13 years 9 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
IVS
2007
110views more  IVS 2007»
13 years 9 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
BMCBI
2005
173views more  BMCBI 2005»
13 years 9 months ago
Phydbac "Gene Function Predictor" : a gene annotation tool based on genomic context analysis
Background: The large amount of completely sequenced genomes allows genomic context analysis to predict reliable functional associations between prokaryotic proteins. Major method...
François Enault, Karsten Suhre, Jean-Michel...
BMCBI
2005
159views more  BMCBI 2005»
13 years 9 months ago
Columba: an integrated database of proteins, structures, and annotations
Background: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features,...
Silke Trißl, Kristian Rother, Heiko Mül...
BMCBI
2005
113views more  BMCBI 2005»
13 years 9 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte