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» Statistical precision of information retrieval evaluation
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SIGIR
2006
ACM
15 years 10 months ago
Capturing collection size for distributed non-cooperative retrieval
Modern distributed information retrieval techniques require accurate knowledge of collection size. In non-cooperative environments, where detailed collection statistics are not av...
Milad Shokouhi, Justin Zobel, Falk Scholer, Seyed ...
CLEF
2007
Springer
15 years 10 months ago
MIRACLE at GeoCLEF Query Parsing 2007: Extraction and Classification of Geographical Information
This paper describes the participation of MIRACLE research consortium at the Query Parsing task of GeoCLEF 2007. Our system is composed of three main modules. First, the Named Geo...
Sara Lana-Serrano, Julio Villena-Román, Jos...
SIGIR
2009
ACM
15 years 11 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
15 years 2 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...
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...