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TMI
2002
185views more  TMI 2002»
13 years 7 months ago
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI inten...
Mohamed N. Ahmed, Sameh M. Yamany, Nevin Mohamed, ...
ICPR
2010
IEEE
13 years 9 months ago
Fast Derivation of Soil Surface Roughness Parameters Using Multi-Band SAR Imagery and the Integral Equation Model
The Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface and radar parameters. To derive the surface parameters fr...
Benjamin Seppke, Leonie Dreschler-Fischer, Jo-Ann ...
ICPR
2008
IEEE
14 years 8 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
SSPR
2004
Springer
14 years 24 days ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....