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» Modeling Problem Transformations based on Data Complexity
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3DPVT
2006
IEEE
229views Visualization» more  3DPVT 2006»
15 years 10 months ago
Fast and Efficient Dense Variational Stereo on GPU
Thanks to their high performance and programmability, the latest graphics cards can now be used for scientific purpose. They are indeed very efficient parallel Single Instruction ...
Julien Mairal, Renaud Keriven, Alexandre Chariot
164
Voted
ICML
1997
IEEE
16 years 7 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
ACL
2009
15 years 4 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
JCC
2006
110views more  JCC 2006»
15 years 6 months ago
Using internal and collective variables in Monte Carlo simulations of nucleic acid structures: Chain breakage/closure algorithm
: This article describes a method for solving the geometric closure problem for simplified models of nucleic acid structures by using the constant bond lengths approximation. The r...
Heinz Sklenar, Daniel Wüstner, Remo Rohs
DMSN
2004
ACM
16 years 2 days ago
Region streams: functional macroprogramming for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
Ryan Newton, Matt Welsh
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