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» Inductive Databases as Ranking
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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 11 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
CIKM
2009
Springer
15 years 5 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
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BMCBI
2010
147views more  BMCBI 2010»
15 years 25 days ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor
SIGMOD
2010
ACM
199views Database» more  SIGMOD 2010»
14 years 10 months ago
Keyword search across databases and documents
Given the continuous growth of databases and the abundance of diverse files in modern IT environments, there is a pressing need to integrate keyword search on heterogeneous inform...
Carlos Garcia-Alvarado, Carlos Ordonez
WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
15 years 7 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...