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» Learning Pedestrian Dynamics from the Real World
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TEC
2010
171views more  TEC 2010»
14 years 4 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
15 years 2 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...
ECOWS
2006
Springer
15 years 1 months ago
The NExT Process Workbench: Towards the Support of Dynamic Semantic Web Processes
Traditional process support systems offer the promise of software assembled from service elements. The typical approach is a static composition of atomic processes to more powerfu...
Abraham Bernstein, Michael Dänzer
AUSAI
2008
Springer
14 years 11 months ago
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata
Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
SIGMOD
2007
ACM
132views Database» more  SIGMOD 2007»
15 years 10 months ago
A dynamic and flexible sensor network platform
SwissQM is a novel sensor network platform for acquiring data from the real world. Instead of statically hand-crafted programs, SwissQM is a virtual machine capable of executing b...
Donald Kossmann, Gustavo Alonso, Jan S. Rellermeye...