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» Solving iterated functions using genetic programming
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133
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BMCBI
2010
185views more  BMCBI 2010»
15 years 3 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
137
Voted
CVPR
2009
IEEE
16 years 10 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
80
Voted
QUESTA
2007
72views more  QUESTA 2007»
15 years 3 months ago
A non-increasing Lindley-type equation
: In this paper we study the Lindley-type equation W = max{0, B − A − W}. Its main characteristic is that it is a non-increasing monotone function in its main argument W. Our m...
Maria Vlasiou
130
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Reconstruction of isometrically deformable flat surfaces in 3D from multiple camera images
This paper deals with the reconstruction of smooth, flexible, isometrically embedded flat surfaces in 3D, such as a sheet of paper or a flag waving in the wind, from a set of 2...
Ricardo Ferreira, João Xavier, João ...
118
Voted
CCE
2006
15 years 3 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...