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» Modelling the provenance of data in autonomous systems
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INFOSCALE
2006
ACM
16 years 3 days ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...
NSDI
2004
15 years 7 months ago
Contract-Based Load Management in Federated Distributed Systems
This paper focuses on load management in looselycoupled federated distributed systems. We present a distributed mechanism for moving load between autonomous participants using bil...
Magdalena Balazinska, Hari Balakrishnan, Michael S...
EUROPAR
2005
Springer
15 years 11 months ago
Faults in Large Distributed Systems and What We Can Do About Them
Scientists are increasingly using large distributed systems built from commodity off-the-shelf components to perform scientific computation. Grid computing has expanded the scale ...
George Kola, Tevfik Kosar, Miron Livny
ICCV
2007
IEEE
16 years 14 days ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
16 years 17 days ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox