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ICIP
2009
IEEE
15 years 11 months ago
Learning Contextual Rules For Priming Object Categories In Images
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...
WSE
2005
IEEE
15 years 4 months ago
Towards Evolving Web Sites into Grid Services Environment
Grid services are emerged by integrating Grid computing and Web services to perform a seamless information processing system across distributed, heterogeneous, dynamic virtual org...
Jianzhi Li, Hongji Yang
UAI
1998
15 years 1 days ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
TRECVID
2008
15 years 3 days ago
The Lowlands Team at TRECVID 2008
Id: trecvid2008.tex 197 2008-10-23 13:28:48Z alyr Date: 2008-10-23 15:28:48 +0200 (Thu, 23 Oct 2008) Type Run Description MAP/mean infAP HLF Official H utcwiprimw146 Our prelimina...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Hen...
TKDE
2010
224views more  TKDE 2010»
14 years 9 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela