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TFS
2008
90views more  TFS 2008»
15 years 6 months ago
Fuzzy Interpolation and Extrapolation: A Practical Approach
Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to...
Zhiheng Huang, Qiang Shen
P2P
2010
IEEE
140views Communications» more  P2P 2010»
15 years 4 months ago
PeerDedupe: Insights into the Peer-Assisted Sampling Deduplication
As the digital data rapidly inflates to a world-wide storage crisis, data deduplication is showing its increasingly prominent function in data storage. Driven by the problems behin...
Yuanjian Xing, Zhenhua Li, Yafei Dai
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
15 years 4 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
AROBOTS
2011
15 years 1 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
JDCTA
2010
155views more  JDCTA 2010»
15 years 1 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao