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HASE
1997
IEEE
15 years 8 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 6 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
150
Voted
ICDAR
2007
IEEE
15 years 11 months 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 9 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 8 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...