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SPIN
2004
Springer
15 years 11 months ago
Directed Error Detection in C++ with the Assembly-Level Model Checker StEAM
Most approaches for model checking software are based on ration of abstract models from source code, which may greatly reduce the search space, but may also introduce errors that a...
Peter Leven, Tilman Mehler, Stefan Edelkamp
ICPR
2008
IEEE
16 years 7 months ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...
208
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MIMI
2007
Springer
16 years 15 days ago
Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images
This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, us...
Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y. ...
ICSM
2005
IEEE
15 years 12 months ago
Towards a Framework for Testing Structural Source-Code Regularities
As size and complexity of software systems increase, preserving the design and specification of their implementation structure gains importance in order to maintain the evolvabil...
Kim Mens, Andy Kellens
MICCAI
2006
Springer
16 years 7 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen