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JMM2
2007
122views more  JMM2 2007»
13 years 7 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
MONET
2007
111views more  MONET 2007»
13 years 7 months ago
Resource Discovery in Activity-Based Sensor Networks
— This paper proposes a service discovery protocol for sensor networks that is specifically tailored for use in humancentered pervasive environments. It uses the high-level conc...
Doina Bucur, Jakob E. Bardram
FLAIRS
2003
13 years 9 months ago
Using Bayesian Networks for Cleansing Trauma Data
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
Prashant Doshi, Lloyd Greenwald, John R. Clarke
NOMS
2008
IEEE
132views Communications» more  NOMS 2008»
14 years 2 months ago
Improving distributed service management using Service Modeling Language (SML)
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
Robert Adams, Ricardo Rivaldo, Guilherme Germoglio...