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» Modeling ODP Computational Specifications Using UML
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CVPR
2008
IEEE
16 years 8 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
BMCBI
2005
145views more  BMCBI 2005»
15 years 6 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
IJPRAI
2010
105views more  IJPRAI 2010»
15 years 3 months ago
An Ontology-Based Model for Representing Image Processing Application Objectives
This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these inf...
Régis Clouard, Arnaud Renouf, Marinette Rev...
HICSS
1997
IEEE
109views Biometrics» more  HICSS 1997»
15 years 10 months ago
Model-Integrated Programming
Model-integrated computing offers unique benefits for building computer-based systems. The tight integration of physical and information processess typical in CBSs is naturally ad...
Hubertus Franke, Janos Sztipanovits, Gabor Karsai
IEEECIT
2006
IEEE
16 years 13 days ago
Statistical 3D Cranio-Facial Models
In forensic science, 3D cranio facail reconstruction is used to reconstruct the face from a skull. This can be done by manual approaches or computer assisted methods. The proposed...
Maxime Berar, Michel Desvignes, Gérard Bail...