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» A mean field approach for optimization in discrete time
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PAMI
2010
215views more  PAMI 2010»
13 years 6 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...
FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
14 years 16 days ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
ASMTA
2009
Springer
114views Mathematics» more  ASMTA 2009»
14 years 14 days ago
Improving the Efficiency of the Proxel Method by Using Individual Time Steps
Discrete stochastic models (DSM) are widely used in various application fields today. Proxel-based simulation can outperform discrete event-based approaches in the analysis of smal...
Claudia Krull, Robert Buchholz, Graham Horton
NHM
2010
73views more  NHM 2010»
13 years 3 months ago
The heterogeneous multiscale finite element method for advection-diffusion problems with rapidly oscillating coefficients and la
Abstract. This contribution is concerned with the formulation of a heterogeneous multiscale finite elements method (HMM) for solving linear advectiondiffusion problems with rapidly...
Patrick Henning, Mario Ohlberger
JMLR
2010
141views more  JMLR 2010»
13 years 3 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...