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2009
Springer
15 years 4 months ago
Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective
One of the purposes of Systems Biology is the quantitative modeling of biochemical networks. In this effort, the use of dynamical mathematical models provides for powerful tools in...
Pedro Evangelista, Isabel Rocha, Eugénio C....
CVPR
2007
IEEE
16 years 8 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
CVPR
2007
IEEE
16 years 8 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang
CSDA
2006
191views more  CSDA 2006»
15 years 6 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
ICDAR
2003
IEEE
15 years 12 months ago
N-Gram and N-Class Models for On line Handwriting Recognition
This paper highlights the interest of a language model in increasing the performances of on-line handwriting recognition systems. Models based on statistical approaches, trained o...
Freddy Perraud, Christian Viard-Gaudin, Emmanuel M...