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142
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BMCBI
2010
185views more  BMCBI 2010»
14 years 7 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
ICCV
2011
IEEE
14 years 15 days ago
Manhattan Scene Understanding Using Monocular, Stereo, and 3D Features
This paper addresses scene understanding in the context of a moving camera, integrating semantic reasoning ideas from monocular vision with 3D information available through struct...
Alex Flint, David Murray, Ian Reid
119
Voted
JMLR
2012
13 years 2 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
114
Voted
ICSE
2010
IEEE-ACM
15 years 2 months ago
DETERMIN: inferring likely deterministic specifications of multithreaded programs
The trend towards multicore processors and graphic processing units is increasing the need for software that can take advantage of parallelism. Writing correct parallel programs u...
Jacob Burnim, Koushik Sen
113
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CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 9 days ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman