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151
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BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
ICCV
2009
IEEE
15 years 1 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
116
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POPL
2010
ACM
16 years 29 days ago
Generating Compiler Optimizations from Proofs
We present an automated technique for generating compiler optimizations from examples of concrete programs before and after improvements have been made to them. The key technical ...
Ross Tate, Michael Stepp, Sorin Lerner
ATAL
2009
Springer
15 years 10 months ago
Effective tag mechanisms for evolving cooperation
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
Matthew Matlock, Sandip Sen
132
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RECOMB
2003
Springer
16 years 3 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson