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» Importance Sampling for Continuous Time Bayesian Networks
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PDCN
2007
13 years 11 months ago
Modified collision packet classification using counting bloom filter in tuple space
Packet classification continues to be an important challenge in network processing. It requires matching each packet against a database of rules and forwarding the packet accordi...
Mahmood Ahmadi, Stephan Wong
MOBISYS
2009
ACM
14 years 10 months ago
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
PEIR, the Personal Environmental Impact Report, is a participatory sensing application that uses location data sampled from everyday mobile phones to calculate personalized estima...
Min Mun, Sasank Reddy, Katie Shilton, Nathan Yau, ...
SIGMOD
2008
ACM
188views Database» more  SIGMOD 2008»
14 years 10 months ago
Just-in-time query retrieval over partially indexed data on structured P2P overlays
Structured peer-to-peer (P2P) overlays have been successfully employed in many applications to locate content. However, they have been less effective in handling massive amounts o...
Sai Wu, Jianzhong Li, Beng Chin Ooi, Kian-Lee Tan
BMCBI
2007
161views more  BMCBI 2007»
13 years 10 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo
WH
2010
185views Healthcare» more  WH 2010»
13 years 4 months ago
Blood oxygen estimation from compressively sensed photoplethysmograph
In this work, we consider low power, wearable pulse oximeter sensors for ambulatory, remote vital signs monitoring applications. It is extremely important for such sensors to main...
Pawan K. Baheti, Harinath Garudadri, Somdeb Majumd...