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CPHYSICS
2007
89views more  CPHYSICS 2007»
13 years 4 months ago
Numerical differentiation of experimental data: local versus global methods
In the context of the analysis of measured data, one is often faced with the task to differentiate data numerically. Typically, this occurs when measured data are concerned or dat...
Karsten Ahnert, Markus Abel
TCSV
2008
195views more  TCSV 2008»
13 years 4 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
BMCBI
2004
169views more  BMCBI 2004»
13 years 4 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
CORR
2007
Springer
193views Education» more  CORR 2007»
13 years 4 months ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...
IJCAI
2001
13 years 5 months ago
A Constraint Satisfaction Approach to Parametric Differential Equations
Parametric ordinary differential equations arise in many areas of science and engineering. Since some of the data is uncertain and given by intervals, traditional numerical method...
Micha Janssen, Pascal Van Hentenryck, Yves Deville