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ICIP
2002
IEEE
16 years 8 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...
ISPW
2006
IEEE
16 years 19 days ago
Simulating the Structural Evolution of Software
As functionality is added to an ageing piece of software, its original design and structure tends to erode. The underlying forces which cause such degradation have been the subject...
Benjamin Stopford, Steve Counsell
ICCV
1999
IEEE
15 years 11 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
NN
2011
Springer
348views Neural Networks» more  NN 2011»
15 years 1 months ago
Tree-like hierarchical associative memory structures
In this letter we explore an alternative structural representation for Steinbuch-type binary associative memories. These networks offer very generous storage capacities (both asy...
João Sacramento, Andreas Wichert
CDC
2008
IEEE
100views Control Systems» more  CDC 2008»
16 years 1 months ago
A structure preserving minimal representation of a nonlinear port-Hamiltonian system
— In this paper an approach to reduce nonlinear non-observable and non-strongly accessible port-Hamiltonian systems to an observable and strongly accessible portHamiltonian syste...
Jacquelien M. A. Scherpen, Arjan van der Schaft