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» Discrete stochastic optimization using linear interpolation
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IPMI
2007
Springer
14 years 9 months ago
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
In this paper we propose a novel non-rigid volume registration based on discrete labeling and linear programming. The proposed framework reformulates registration as a minimal path...
Ben Glocker, Nikos Komodakis, Nikos Paragios, Geor...
BMCBI
2010
185views more  BMCBI 2010»
13 years 3 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
CCE
2008
13 years 7 months ago
Large scale optimization strategies for zone configuration of simulated moving beds
Simulated Moving Bed (SMB) processes are widely used in sugar, petrochemical, and pharmaceutical industries. However, systematic optimization of SMB, especially finding the optima...
Yoshiaki Kawajiri, Lorenz T. Biegler
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
14 years 1 months ago
Maximally Informative Statistics for Localization and Mapping
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filte...
Matthew Deans
SIAMCO
2002
71views more  SIAMCO 2002»
13 years 8 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner