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» Grid based variational approximations
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NIPS
2007
14 years 11 months ago
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
86
Voted
WSCG
2003
165views more  WSCG 2003»
14 years 11 months ago
A Shape Constrained Curve Approximation Method for Styling Surfaces Modeling
The problem of styling surfaces modeling is tackled. An approach based on section curves fairing is chosen. The concept of template curves is developed for approximating profiles ...
Yves Mineur
ICDAR
2011
IEEE
13 years 9 months ago
An Improved Method Based on Weighted Grid Micro-structure Feature for Text-Independent Writer Recognition
: Writer recognition is a very important branch of biometrics. In our previous research, a Grid Micro-structure Feature (GMSF) based text-independent and scriptindependent method w...
Lu Xu, Xiaoqing Ding, Liangrui Peng, Xin Li
ICASSP
2009
IEEE
15 years 4 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...