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» Kolmogorov Complexity and Model Selection
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JETAI
2006
63views more  JETAI 2006»
13 years 9 months ago
Principled exploitation of behavioural coupling
In robot building, attention tends to focus on internal signal processing and the way desired motor signals are generated. But equally important is the selection and configuration...
Chris Thornton
PRL
2000
182views more  PRL 2000»
13 years 9 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
IJCV
2007
113views more  IJCV 2007»
13 years 9 months ago
Vision and Rain
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...
Kshitiz Garg, Shree K. Nayar
GLOBECOM
2010
IEEE
13 years 7 months ago
On Comparing the Performance of Dynamic Multi-Network Optimizations
With a large variety of wireless access technologies available, multi-homed devices may strongly improve the performance and reliability of communication when using multiple networ...
Geert Jan Hoekstra, Robert D. van der Mei, J. W. B...
BMCBI
2010
160views more  BMCBI 2010»
13 years 9 months ago
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins
Background: Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein intera...
Young-Rae Cho, Aidong Zhang