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WWW
2008
ACM
14 years 8 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh
SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
13 years 8 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
MIE
2008
177views Healthcare» more  MIE 2008»
13 years 8 months ago
Process Mining Techniques: an Application to Stroke Care
In a competitive health-care market, hospitals have to focus on ways to streamline their processes in order to deliver high quality care while at the same time reducing costs. To a...
Ronny Mans, Helen Schonenberg, Giorgio Leonardi, S...
ICIAR
2009
Springer
14 years 1 months ago
Video Compression and Retrieval of Moving Object Location Applied to Surveillance
Abstract. A major problem in surveillance systems is the storage requirements for video archival; videos are recorded continuously for long periods of time, resulting in large amou...
William Robson Schwartz, Hélio Pedrini, Lar...
MM
2004
ACM
137views Multimedia» more  MM 2004»
14 years 23 days ago
Towards auto-documentary: tracking the evolution of news stories
News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots t...
Pinar Duygulu, Jia-Yu Pan, David A. Forsyth