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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 1 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
VMCAI
2010
Springer
15 years 10 months ago
Advances in Probabilistic Model Checking
In the recent years, there have been a large amount of investigations on safety verification of uncertain continuous systems. In engineering and applied mathematics, this verificat...
Joost-Pieter Katoen
EDBT
2009
ACM
123views Database» more  EDBT 2009»
15 years 8 months ago
High-performance information extraction with AliBaba
A wealth of information is available only in web pages, patents, publications etc. Extracting information from such sources is challenging, both due to the typically complex langu...
Peter Palaga, Long Nguyen, Ulf Leser, Jörg Ha...
SEMWEB
2009
Springer
15 years 7 months ago
ASMOV: Results for OAEI 2009
The Automated Semantic Mapping of Ontologies with Validation (ASMOV) algorithm for ontology alignment was one of the top performing algorithms in the 2007 and 2008 Ontology Alignme...
Yves R. Jean-Mary, E. Patrick Shironoshita, Mansur...