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» Data Reduction Using Multiple Models Integration
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TNN
2008
129views more  TNN 2008»
14 years 9 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
BMCBI
2008
111views more  BMCBI 2008»
14 years 9 months ago
MLIP: using multiple processors to compute the posterior probability of linkage
Background: Localization of complex traits by genetic linkage analysis may involve exploration of a vast multidimensional parameter space. The posterior probability of linkage (PP...
Manika Govil, Alberto Maria Segre, Veronica J. Vie...
ICCS
2007
Springer
15 years 3 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
DKE
2006
138views more  DKE 2006»
14 years 9 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
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CGF
1999
70views more  CGF 1999»
14 years 9 months ago
Modelling and Rendering Graphics Scenes Composed of Multiple Volumetric Datasets
This paper presents a method for modelling graphics scenes consisting of multiple volumetric objects. A twolevel hierarchical representation is employed, which enables the reducti...
Adrian Leu, Min Chen