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HASE
1997
IEEE
15 years 10 months ago
Analytical Modelling and Evaluation of Phased-Mission Systems for Space Applications
This paper deals with the modelling and evaluation of mission-phased systems devoted to space applications. We propose a two level hierarchical method that allows to model such sy...
Andrea Bondavalli, Ivan Mura, Manuela Nelli
FLAIRS
2003
15 years 7 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
ICDAR
2007
IEEE
16 years 21 days ago
A Shared Parts Model for Document Image Recognition
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
M. Das Gupta, P. Sarkar
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
15 years 11 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis
ICASSP
2011
IEEE
14 years 10 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...