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» A Model for Large Scale Self-Stabilization
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ICML
2009
IEEE
14 years 8 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
IPPS
2010
IEEE
13 years 5 months ago
Broadcasting on large scale heterogeneous platforms under the bounded multi-port model
We consider the problem of broadcasting a large message in a large scale distributed platform. The message must be sent from a source node, with the help of the receiving peers whi...
Olivier Beaumont, Lionel Eyraud-Dubois, Shailesh K...
3DPVT
2006
IEEE
156views Visualization» more  3DPVT 2006»
14 years 1 months ago
Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics
We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scala...
Li Shen, Moo K. Chung
PADS
2009
ACM
14 years 2 months ago
GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios
A methodology and its associated algorithms are presented for mapping a novel, field-based vehicular mobility model onto graphical processing unit computational platform for simul...
Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. ...