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» Clustering with Diversity
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KBS
2006
150views more  KBS 2006»
13 years 7 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
INFOCOM
2011
IEEE
12 years 11 months ago
Clustering in cooperative networks
Abstract—Low power ad hoc wireless networks operate in conditions where channels are subject to fading. Cooperative diversity mitigates fading in these networks by establishing v...
Boulat A. Bash, Dennis Goeckel, Donald F. Towsley
ECIR
2007
Springer
13 years 9 months ago
A Hierarchical Consensus Architecture for Robust Document Clustering
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
Xavier Sevillano, Germán Cobo, Francesc Al&...
WWW
2009
ACM
14 years 8 months ago
Visual diversification of image search results
Due to the reliance on the textual information associated with an image, image search engines on the Web lack the discriminative power to deliver visually diverse search results. ...
Reinier H. van Leuken, Lluis Garcia Pueyo, Ximena ...
CLEF
2008
Springer
13 years 9 months ago
Building a Diversity Featured Search System by Fusing Existing Tools
This paper describes our diversity featured retrieval system which are built for the task of ImageCLEFPhoto 2008. Two existing tools are used: Solr and Carrot2 . We have experimen...
Jiayu Tang, Thomas Arni, Mark Sanderson, Paul Clou...