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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 1 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
CLEF
2008
Springer
13 years 8 months ago
Diversity in Image Retrieval: DCU at ImageCLEFPhoto 2008
DCU participated in the ImageCLEF 2008 photo retrieval task, which aimed to evaluate diversity in Image Retrieval, submitting runs for both the English and Random language annotati...
Neil O'Hare, Peter Wilkins, Cathal Gurrin, Eamonn ...
CLEF
2008
Springer
13 years 9 months ago
Clustering for Photo Retrieval at Image CLEF 2008
This paper presents the first participation of the University of Ottawa group in the Photo Retrieval task at Image CLEF 2008. Our system uses Lucene for text indexing and LIRE for ...
Diana Inkpen, Marc Stogaitis, François DeGu...
SIGMOD
2007
ACM
198views Database» more  SIGMOD 2007»
14 years 7 months ago
Addressing diverse user preferences in SQL-query-result navigation
Database queries are often exploratory and users often find their queries return too many answers, many of them irrelevant. Existing work either categorizes or ranks the results t...
Zhiyuan Chen, Tao Li
VTC
2008
IEEE
162views Communications» more  VTC 2008»
14 years 1 months ago
A Selective Cluster Index Scheduling Method in OFDMA
—OFDM is an attractive solution for the design of future wireless communications due to its robustness to dispersion in multipath environments. Additional diversity gains can be ...
Marios Nicolaou, Angela Doufexi, Simon Armour