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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 24 days ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
WSC
2008
15 years 9 months ago
Speeding up call center simulation and optimization by Markov chain uniformization
Staffing and scheduling optimization in large multiskill call centers is time-consuming, mainly because it requires lengthy simulations to evaluate performance measures and their ...
Eric Buist, Wyean Chan, Pierre L'Ecuyer
JASIS
2000
120views more  JASIS 2000»
15 years 6 months ago
Probabilistic datalog: Implementing logical information retrieval for advanced applications
In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Dat...
Norbert Fuhr
MICCAI
2010
Springer
15 years 5 months ago
Understanding the Optics to Aid Microscopy Image Segmentation
Abstract. Image segmentation is essential for many automated microscopy image analysis systems. Rather than treating microscopy images as general natural images and rushing into th...
Zhaozheng Yin, Kang Li, Takeo Kanade, Mei Chen
CVPR
2012
IEEE
13 years 9 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...