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» Preprocessing for Optimization of Probabilistic-Logic Models...
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RSKT
2009
Springer
14 years 2 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
BMCBI
2005
201views more  BMCBI 2005»
13 years 7 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
ICIAR
2004
Springer
14 years 1 months ago
Real Time Multiple Object Tracking Based on Active Contours
Abstract. In this paper our purpose is to present some solutions to multiple object tracking in an image sequence with a real time constraint and a possible mobile camera. We propo...
Sébastien Lefèvre, Nicole Vincent
IEEESCC
2005
IEEE
14 years 1 months ago
Transforming Business Process Models: Enabling Programming at a Higher Level
Two practical paradigms are presented, which facilitate domain concepts to be directly used to model business operations: the first paradigm is based on the business artifacts and...
Wei Zhao, Barrett R. Bryant, Fei Cao, Kamal Bhatta...
MICCAI
2000
Springer
13 years 11 months ago
Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization
In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed,...
Bostjan Likar, Max A. Viergever, Franjo Pernus