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AROBOTS
2011
14 years 9 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
MONET
2011
14 years 9 months ago
On Adaptive Density Deployment to Mitigate the Sink-Hole Problem in Mobile Sensor Networks
Abstract The use of mobile sensors is of great relevance to monitor critical areas where sensors cannot be deployed manually. The presence of data collector sinks causes increased ...
Novella Bartolini, Tiziana Calamoneri, Annalisa Ma...
129
Voted
TIP
2010
141views more  TIP 2010»
14 years 8 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
JIB
2006
106views more  JIB 2006»
15 years 1 months ago
A structural keystone for drug design
3D-structures of proteins and potential ligands are the cornerstones of rational drug design. The first brick to build upon is selecting a protein target and finding out whether b...
Kristian Rother, Mathias Dunkel, Elke Michalsky, S...
EUROSYS
2006
ACM
15 years 11 months ago
Experiences in building and operating ePOST, a reliable peer-to-peer application
Peer-to-peer (p2p) technology can potentially be used to build highly reliable applications without a single point of failure. However, most of the existing applications, such as ...
Alan Mislove, Ansley Post, Andreas Haeberlen, Pete...