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CVPR
2007
IEEE
14 years 11 months ago
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
Benjamin Laxton, Jongwoo Lim, David J. Kriegman
ECTEL
2006
Springer
14 years 23 days ago
Semantic Modelling of Learning Objects and Instruction
Abstract. We introduce an ontology-based semantic modelling framework that addresses subject domain modelling, instruction modelling, and interoperability aspects in the developmen...
Claus Pahl, Mark Melia
SARA
2005
Springer
14 years 2 months ago
Learning Regular Expressions from Noisy Sequences
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
Ugo Galassi, Attilio Giordana
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 10 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
SIGECOM
2011
ACM
216views ECommerce» more  SIGECOM 2011»
12 years 12 months ago
Strategic sequential voting in multi-issue domains and multiple-election paradoxes
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
Lirong Xia, Vincent Conitzer, Jérôme ...