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MIA
2010
170views more  MIA 2010»
13 years 2 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
ICPR
2000
IEEE
14 years 9 months ago
Piecewise Linear Skeletonization Using Principal Curves
We propose an algorithm to find piecewise linear skeletons of hand-written characters by using principal curves. The development of the method was inspired by the apparent similar...
Adam Krzyzak, Balázs Kégl
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 2 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
IPPS
2006
IEEE
14 years 1 months ago
Memory minimization for tensor contractions using integer linear programming
This paper presents a technique for memory optimization for a class of computations that arises in the field of correlated electronic structure methods such as coupled cluster and...
A. Allam, J. Ramanujam, Gerald Baumgartner, P. Sad...
VIS
2004
IEEE
222views Visualization» more  VIS 2004»
14 years 9 months ago
Non-Linear Model Fitting to Parameterize Diseased Blood Vessels
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...
Alexandra La Cruz, Matús Straka, Arnold K&o...