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CVPR
2007
IEEE
14 years 2 months ago
Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment
In this work, we systematically study the problem of visual event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which vide...
Dong Xu, Shih-Fu Chang
ADBIS
2000
Springer
111views Database» more  ADBIS 2000»
14 years 11 hour ago
Discovering Frequent Episodes in Sequences of Complex Events
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
Marek Wojciechowski
PAMI
2008
146views more  PAMI 2008»
13 years 7 months ago
Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment
In this work, we systematically study the problem of event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which video clip s...
Dong Xu, Shih-Fu Chang
TSE
2011
180views more  TSE 2011»
13 years 2 months ago
Developing a Single Model and Test Prioritization Strategies for Event-Driven Software
—Event-Driven Software (EDS) can change state based on incoming events; common examples are GUI and web applications. These EDS pose a challenge to testing because there are a la...
Renée C. Bryce, Sreedevi Sampath, Atif M. M...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 12 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh