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» Modeling Signs Using Functional Data Analysis
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110
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TMI
2002
113views more  TMI 2002»
15 years 2 months ago
Spatiotemporal reconstruction of list mode PET data
We describe a method for computing a continuous time estimate of tracer density using list-mode positron emission tomography data. The rate function in each voxel is modeled as an ...
Thomas E. Nichols, Jinyi Qi, Evren Asma, Richard M...
JMLR
2010
103views more  JMLR 2010»
14 years 9 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
121
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BMCBI
2006
117views more  BMCBI 2006»
15 years 2 months ago
A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kineti
Background: Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living ...
I. Emrah Nikerel, Wouter A. van Winden, Walter M. ...
ICIP
2010
IEEE
15 years 9 days ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
ICASSP
2011
IEEE
14 years 6 months ago
Characterization of three-dimensional data with multidimensional deformable models based on B-splines in the fourier domain
This paper presents the formulation and implementation of multidimensional deformable models in the frequency domain. The models are defined by finite element discretization, us...
Rafael Berenguer-Vidal, Rafael Verdú Monede...