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» UFRGS@CLEF2009: Retrieval by Numbers
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CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 4 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
PCM
2004
Springer
107views Multimedia» more  PCM 2004»
15 years 4 months ago
Complete Performance Graphs in Probabilistic Information Retrieval
The performance of a Content-Based Image Retrieval (CBIR) system presented in the form of Precision-Recall or PrecisionScope graphs offers an incomplete overview of the system und...
Nicu Sebe, Dionysius P. Huijsmans, Qi Tian, Theo G...
VISUAL
1999
Springer
15 years 3 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
CLEF
2006
Springer
15 years 2 months ago
A Study on the Use of Stemming for Monolingual Ad-Hoc Portuguese Information Retrieval
For UFRGS's first participation in CLEF our goal was to compare the performance of heavier and lighter stemming strategies using the Portuguese data collections for monolingua...
Viviane Moreira Orengo, Luciana S. Buriol, Alexand...
ECIR
2008
Springer
15 years 15 days ago
A Statistical View of Binned Retrieval Models
Many traditional information retrieval models, such as BM25 and language modeling, give good retrieval effectiveness, but can be difficult to implement efficiently. Recently, docum...
Donald Metzler, Trevor Strohman, W. Bruce Croft