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ICCV
2005
IEEE
14 years 10 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
SIGIR
2006
ACM
14 years 2 months ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
INTR
2007
152views more  INTR 2007»
13 years 8 months ago
Approaches for personalised knowledge retrieval
This paper proposes a hybrid approach for managing knowledge within companies based on communication between people. In addition to traditional Knowledge Management Systems our co...
Robert Loew, Katrin Kuemmel, Judith Ruprecht, Udo ...
EKAW
2006
Springer
14 years 13 days ago
Distributed Multi-contextual Ontology Evolution - A Step Towards Semantic Autonomy
In today's world there is a need for knowledge infrastructures that can support several autonomous knowledge bases all using different ontologies and constantly adapting thes...
Maciej Zurawski
AAAI
1998
13 years 10 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...