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IJAR
2010
130views more  IJAR 2010»
15 years 7 days ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ICEIS
1999
IEEE
15 years 6 months ago
Contour Estimation on Piecewise Homogeneous Random Fields
: Contour Estimation, Bayesian Estimation, Random Fields, Dynamic Programming, Multigrid Methods. This paper addresses contour estimation on images modeled as piecewise homogeneous...
José A. Moinhos Cordeiro, José M. B....
TIP
2008
139views more  TIP 2008»
15 years 1 months ago
Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy
Abstract--Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, t...
François Aguet, Dimitri Van De Ville, Micha...
130
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ICPR
2010
IEEE
14 years 11 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
EGOV
2004
Springer
15 years 7 months ago
Software Acquisition Based on Business Models
In this paper, we present an approach based on hierarchically structured business models as artifacts of business process modeling that are used in a stepwise acquisition process f...
Peter Regner, Thomas Wiesinger, Josef Küng, R...