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» Achieving Scalability in Real-Time Systems
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AI
2011
Springer
14 years 1 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
153
Voted
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
15 years 11 months ago
Adaptive Load Diffusion for Multiway Windowed Stream Joins
In this paper, we present an adaptive load diffusion operator to enable scalable processing of Multiway Windowed Stream Joins (MWSJs) using a cluster system. The load diffusion is...
Xiaohui Gu, Philip S. Yu, Haixun Wang
SASO
2009
IEEE
15 years 4 months ago
Swarming Polyagents Executing Hierarchical Task Networks
Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improve...
Sven A. Brueckner, Theodore C. Belding, Robert Bis...
SC
2004
ACM
15 years 3 months ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
VR
2010
IEEE
235views Virtual Reality» more  VR 2010»
14 years 8 months ago
VirtualizeMe: Real-time avatar creation for Tele-Immersion environments
VirtualizeMe introduces a new design for a fully immersive TeleImmersion system for remote collaboration and virtual world interaction. This system introduces a new avatar creatio...
Daniel Knoblauch, Pau Moreno Font, Falko Kuester