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161
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ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
15 years 9 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
166
Voted
ICML
2000
IEEE
16 years 4 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
CIKM
2005
Springer
15 years 9 months ago
Towards automatic association of relevant unstructured content with structured query results
Faced with growing knowledge management needs, enterprises are increasingly realizing the importance of seamlessly integrating critical business information distributed across bot...
Prasan Roy, Mukesh K. Mohania, Bhuvan Bamba, Shree...
ESWS
2010
Springer
15 years 8 months ago
Leveraging Terminological Structure for Object Reconciliation
Abstract. It has been argued that linked open data is the major benefit of semantic technologies for the web as it provides a huge amount of structured data that can be accessed i...
Jan Noessner, Mathias Niepert, Christian Meilicke,...
116
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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 9 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....