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DATESO
2006
103views Database» more  DATESO 2006»
13 years 10 months ago
Using WordNet Glosses to Refine Google Queries
This paper describes one of the ways how to overcome one of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clu...
Jan Nemrava
ECSQARU
2005
Springer
14 years 2 months ago
Default Clustering from Sparse Data Sets
Categorization with a very high missing data rate is seldom studied, especially from a non-probabilistic point of view. This paper proposes a new algorithm called default clusterin...
Julien Velcin, Jean-Gabriel Ganascia
ECIR
2009
Springer
13 years 6 months ago
Revisiting IR Techniques for Collaborative Search Strategies
Abstract. This paper revisits some of the established Information Retrieval (IR) techniques to investigate effective collaborative search strategies. We devised eight search strate...
Hideo Joho, David Hannah, Joemon M. Jose
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
14 years 2 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
IGARSS
2010
13 years 6 months ago
Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts
In this paper, we develop a new spatial preprocessing strategy which can be applied prior to a spectral-based endmember extraction process for unmixing of hyperspectral data. Our ...
Gabriel Martin, Antonio J. Plaza