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ICCV
2005
IEEE
15 years 3 months ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
IPSN
2007
Springer
15 years 3 months ago
Sparse data aggregation in sensor networks
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...
CAD
2000
Springer
14 years 9 months ago
Time-critical multiresolution rendering of large complex models
Very large and geometrically complex scenes, exceeding millions of polygons and hundreds of objects, arise naturally in many areas of interactive computer graphics. Time-critical ...
Enrico Gobbetti, Eric Bouvier
ICASSP
2010
IEEE
14 years 9 months ago
Distributed Lasso for in-network linear regression
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
SIAMSC
2008
131views more  SIAMSC 2008»
14 years 9 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner