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SIAMSC
2008
237views more  SIAMSC 2008»
14 years 9 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
CEC
2007
IEEE
15 years 4 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
CEC
2010
IEEE
14 years 9 months ago
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
ISBI
2008
IEEE
15 years 10 months ago
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest
We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of i...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
EUROCRYPT
1999
Springer
15 years 1 months ago
Distributed Pseudo-random Functions and KDCs
Abstract. This work describes schemes for distributing between n servers the evaluation of a function f which is an approximation to a random function, such that only authorized su...
Moni Naor, Benny Pinkas, Omer Reingold