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» Multiobjective Optimization of Temporal Processes
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AOR
2010
14 years 12 months ago
Speeding up Stochastic Dynamic Programming with Zero-Delay Convolution
We show how a technique from signal processing known as zero-delay convolution can be used to develop more efficient dynamic programming algorithms for a broad class of stochastic...
Brian C. Dean
BPSC
2010
194views Business» more  BPSC 2010»
15 years 1 months ago
Ad-hoc Management Capabilities for Distributed Business Processes
: Advanced business processes are mostly distributed and require highly flexible management capabilities. In such scenarios, process parts often leave their initiator’s direct sp...
Sonja Zaplata, Dirk Bade, Kristof Hamann, Winfried...
CIDR
2007
141views Algorithms» more  CIDR 2007»
15 years 3 months ago
Data-Driven Processing in Sensor Networks
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...
ECCV
2002
Springer
16 years 4 months ago
Evaluating Image Segmentation Algorithms Using the Pareto Front
Image segmentation is the first stage of processing in many practical computer vision systems. While development of particular segmentation algorithms has attracted considerable re...
Mark Everingham, Henk L. Muller, Barry T. Thomas
GECCO
2007
Springer
198views Optimization» more  GECCO 2007»
15 years 8 months ago
On the design of optimisers for surface reconstruction
In many industrial applications the need for an efficient and high-quality reconstruction of free-form surfaces does exist. Surface Reconstruction – the generation of CAD models...
Tobias Wagner, Thomas Michelitsch, Alexei Sacharow