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» An Adaptive Approach to Data Placement
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ICCV
1999
IEEE
16 years 8 months ago
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
Étienne Mémin, Patrick Pérez
BMCBI
2007
167views more  BMCBI 2007»
15 years 6 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
16 years 13 days ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
SKG
2006
IEEE
16 years 9 hour ago
Using Ontologies to Support Customisation and Maintain Interoperability in Distributed Information Systems with Application to t
Abstract. Global distributed systems must be standards-based to allow interoperability between all of their components. While this guarantees interoperability, it often causes loca...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...
PPSN
2004
Springer
15 years 11 months ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin