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AROBOTS
2011
13 years 3 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
CIKM
2000
Springer
14 years 1 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
BMCBI
2008
115views more  BMCBI 2008»
13 years 8 months ago
BioGraphE: high-performance bionetwork analysis using the Biological Graph Environment
Background: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching h...
George Chin Jr., Daniel G. Chavarría-Mirand...
SIGMOD
1997
ACM
166views Database» more  SIGMOD 1997»
14 years 27 days ago
The InfoSleuth Project
The goal of the InfoSleuth project at MCC is to exploit and synthesize new technologies into a uni ed system that retrieves and processes information in an ever-changing network o...
Roberto J. Bayardo Jr., William Bohrer, Richard S....
JGAA
2006
120views more  JGAA 2006»
13 years 8 months ago
Distributing Unit Size Workload Packages in Heterogeneous Networks
The task of balancing dynamically generated work load occurs in a wide range of parallel and distributed applications. Diffusion based schemes, which belong to the class of neares...
Robert Elsässer, Burkhard Monien, Stefan Scha...