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AINA
2008
IEEE
14 years 3 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
SODA
2001
ACM
115views Algorithms» more  SODA 2001»
13 years 10 months ago
Loss-bounded analysis for differentiated services
We consider a network providing Differentiated Services (DiffServ) which allow network service providers to offer different levels of Quality of Service (QoS) to different traffic...
Alexander Kesselman, Yishay Mansour
WABI
2005
Springer
124views Bioinformatics» more  WABI 2005»
14 years 2 months ago
Reconstructing Metabolic Networks Using Interval Analysis
Recently, there has been growing interest in the modelling and simulation of biological systems. Such systems are often modelled in terms of coupled ordinary differential equation...
Warwick Tucker, Vincent Moulton
TMI
2008
138views more  TMI 2008»
13 years 8 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...
CVPR
2007
IEEE
14 years 11 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...