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» Probabilistic author-topic models for information discovery
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SIGIR
2005
ACM
13 years 10 months ago
A probabilistic model for retrospective news event detection
Retrospective news event detection (RED) is defined as the discovery of previously unidentified events in historical news corpus. Although both the contents and time information...
Zhiwei Li, Bin Wang, Mingjing Li, Wei-Ying Ma
PSB
2004
13 years 6 months ago
Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
Alan M. Moses, Derek Y. Chiang, Michael B. Eisen
CVPR
2004
IEEE
14 years 7 months ago
Hidden Semantic Concept Discovery in Region Based Image Retrieval
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image ret...
Ruofei Zhang, Zhongfei (Mark) Zhang
CORR
2007
Springer
162views Education» more  CORR 2007»
13 years 5 months ago
Exploiting Social Annotation for Automatic Resource Discovery
Information integration applications, such as mediators or mashups, that require access to information resources currently rely on users manually discovering and integrating them ...
Anon Plangprasopchok, Kristina Lerman
ICCV
2003
IEEE
14 years 7 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang