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» Learning semantic models from event logs
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EMNLP
2009
14 years 9 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
SPIESR
2003
230views Database» more  SPIESR 2003»
15 years 16 days ago
Bridging the semantic gap in sports
One of the major challenges facing current media management systems and related applications is the so-called ‘‘semantic gap’’ between the rich meaning that a user desires...
Baoxin Li, James H. Errico, Hao Pan, M. Ibrahim Se...
CAISE
2005
Springer
15 years 4 months ago
A Meta Model for Process Mining Data
Abstract. Modern process-aware information systems store detailed information about processes as they are being executed. This kind of information can be used for very different p...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
183
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ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 16 days ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...