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JUCS
2006
107views more  JUCS 2006»
13 years 6 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
IMCSIT
2010
13 years 4 months ago
On the Numerical Analysis of Stochastic Lotka-Volterra Models
The stochastic Lotka-Volterra model is an infinite Markov population model that has applications in various life science domains. Its analysis is challenging since, besides an infi...
Tugrul Dayar, Linar Mikeev, Verena Wolf
ICAI
2009
13 years 4 months ago
Data Mining in Incomplete Numerical and Categorical Data Sets: A Neuro Fuzzy Approach
- There are many applications dealing with incomplete data sets that take different approaches to making imputations for missing values. Most tackle the problem for numerical input...
Pilar Rey del Castillo, Jesus Cardenosa
ICCS
2003
Springer
13 years 12 months ago
Self-Adapting Numerical Software and Automatic Tuning of Heuristics
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
Jack Dongarra, Victor Eijkhout
SIAMIS
2010
109views more  SIAMIS 2010»
13 years 1 months ago
Application of the Topological Gradient Method to Color Image Restoration
The goal of this note is to generalize the topological gradient method, applied to restoration and classification problems for grey-level images, to color images. We illustrate ou...
Didier Auroux, Lamia Jaafar Belaid, Badreddine Rja...