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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 9 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
CVPR
2011
IEEE
14 years 8 months ago
Multi-agent event recognition in structured scenarios
We present a framework for the automatic recognition of complex multi-agent events in settings where structure is imposed by rules that agents must follow while performing activit...
Vlad Morariu, Larry Davis
JBCS
2010
85views more  JBCS 2010»
14 years 6 months ago
OWL schema matching
Schema matching is a fundamental issue to many database applications, such as query mediation and data warehousing. It becomes a challenge when different vocabularies are used to r...
Luiz André P. Paes Leme, Marco A. Casanova,...
ICCV
2005
IEEE
16 years 1 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
IFIP
2007
Springer
15 years 6 months ago
An Architecture for the Self-management of Lambda-Connections in Hybrid Networks
Hybrid networks are networks capable of switching data at multiple levels (optical and IP packet level) by means of multi-service optical switches. As a result of that, huge flows...
Tiago Fioreze, Remco van de Meent, Aiko Pras