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SIGIR
2008
ACM
13 years 8 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
HCW
1998
IEEE
14 years 1 months ago
Implementing Distributed Synthetic Forces Simulations in Metacomputing Environments
A distributed, parallel implementation of the widely used Modular Semi-Automated Forces ModSAF Distributed Interactive Simulation DIS is presented, with Scalable Parallel Processo...
Sharon Brunett, Dan Davis, Thomas Gottschalk, Paul...
GD
2007
Springer
14 years 2 months ago
Line Crossing Minimization on Metro Maps
We consider the problem of drawing a set of simple paths along the edges of an embedded underlying graph G = (V, E), so that the total number of crossings among pairs of paths is m...
Michael A. Bekos, Michael Kaufmann, Katerina Potik...
ICCV
1999
IEEE
14 years 1 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
ESWA
2008
162views more  ESWA 2008»
13 years 8 months ago
Proportionate flexible flow shop scheduling via a hybrid constructive genetic algorithm
The proportionate flow shop (PFS) is considered as a unique case of the flow shop problem in which the processing times of the operations belonging to the same job are equal. A pr...
Der-Fang Shiau, Shu-Chen Cheng, Yueh-Min Huang