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ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
13 years 11 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...
PERCOM
2007
ACM
14 years 4 months ago
Hoarding Context Information with Context Clusters
The components of a context-aware system can often become disconnected because of the dynamic environments within which they are deployed. Hoarding context information on the clie...
Myilone Anandarajah, Ricky Robinson, Jadwiga Indul...
ISVC
2007
Springer
13 years 11 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
CIVR
2010
Springer
254views Image Analysis» more  CIVR 2010»
13 years 10 months ago
Video scene analysis of interactions between humans and vehicles using event context
In this paper, we present a methodology to estimate a detailed state of a video scene involving multiple humans and vehicles. In order to annotate and retrieve videos containing a...
M. S. Ryoo, Jong Taek Lee, Jake K. Aggarwal
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 4 days ago
On High Dimensional Projected Clustering of Uncertain Data Streams
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
Charu C. Aggarwal