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» A Modelling Framework for Functional Imagination
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TMI
2008
138views more  TMI 2008»
15 years 2 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ICIP
2008
IEEE
16 years 5 months ago
Optical flow based tracking and retexturing of garments
In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with di...
Anna Hilsmann, Peter Eisert
100
Voted
ICIP
2009
IEEE
16 years 4 months ago
Multiframe Image Restoration In The Presence Of Noisy Blur Kernel
We wish to recover an original image u from several blurry-noisy versions fk, called frames. We assume a more severe degradation model, in which the image u has been blurred by a ...
145
Voted
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 9 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
EMSOFT
2005
Springer
15 years 9 months ago
Model-based analysis of distributed real-time embedded system composition
Key challenges in distributed real-time embedded (DRE) system developments include safe composition of system components and mapping the functional specifications onto the target...
Gabor Madl, Sherif Abdelwahed