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» Meaningful Change Detection in Structured Data
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GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 25 days ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
CSDA
2007
115views more  CSDA 2007»
13 years 7 months ago
Arbitrarily shaped multiple spatial cluster detection for case event data
An original method is proposed for spatial cluster detection of case event data. A selection order and the distance from the nearest neighbour are attributed to each point, once p...
Christophe Dematteï, Nicolas Molinari, Jean-P...
SBIA
1995
Springer
13 years 11 months ago
Modeling the Influence of Non-Changing Quantities
ion Framework for Compositional Modeling 36 Diane Chi and Yumi Iwasaki Model Decomposition and Simulation 45 Daniel J. Clancy and Benjamin Kuipers A Distance Measure for Attention ...
Bert Bredeweg, Kees de Koning, Cis Schut
VVS
2000
IEEE
176views Visualization» more  VVS 2000»
13 years 12 months ago
4D volume rendering with the Shear Warp factorisation
A novel approach for rendering time-varying data based on the Shear-Warp factorisation is presented. Reduction in storage space is achieved by detecting the changed areas within e...
Kostas Anagnostou, Tim J. Atherton, Andrew E. Wate...
BMCBI
2008
158views more  BMCBI 2008»
13 years 7 months ago
LC-MSsim - a simulation software for liquid chromatography mass spectrometry data
Background: Mass Spectrometry coupled to Liquid Chromatography (LC-MS) is commonly used to analyze the protein content of biological samples in large scale studies. The data resul...
Ole Schulz-Trieglaff, Nico Pfeifer, Clemens Gr&oum...