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CLEF
2010
Springer
11 years 26 days ago
Bioingenium at ImageClefmed 2010: A Latent Semantic Approach
This paper describes the participation of the Bioingenium Research Group in the ad hoc Medical Image Retrieval task for the 2010 ImageCLEF forum. The work aimed to explore semantic...
Jose G. Moreno, Juan C. Caicedo, Fabio A. Gonz&aac...
CLEF
2010
Springer
11 years 26 days ago
I2R At ImageCLEF Wikipedia Retrieval 2010
We report on our approaches and methods for the ImageCLEF 2010 Wikipedia image retrieval task. A distinctive feature of this year's image collection is that images are associ...
Kong-Wah Wan, Yan-Tao Zheng, Sujoy Roy
CLEF
2008
Springer
11 years 1 months ago
Methods for Combining Content-Based and Textual-Based Approaches in Medical Image Retrieval
This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
CLEF
2006
Springer
11 years 3 months ago
MorphoSaurus in ImageCLEF 2006: The Effect of Subwords On Biomedical IR
We here describe the subword approach we used in the 2006 ImageCLEF Medical Image Retrieval task. It is based on the assupmtion that neither fully inflected nor automatically stem...
Philipp Daumke, Jan Paetzold, Kornél G. Mar...
CLEF
2004
Springer
11 years 5 months ago
ImageCLEF 2004: Combining Image and Multi-lingual Search for Medical Image Retrieval
This article describes the technologies used for the various runs submitted by the University of Geneva in the context of the 2004 ImageCLEF competition. As our expertise is mainly...
Henning Müller, Antoine Geissbühler, Pat...
CIVR
2004
Springer
161views Image Analysis» more  CIVR 2004»
11 years 5 months ago
The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004
Abstract. In this paper we describe ImageCLEF1, the cross language image retrieval track of the Cross Language Evaluation Forum (CLEF3). We instigated and ran a pilot experiment in...
Paul Clough, Mark Sanderson, Henning Müller
ECIR
2009
Springer
11 years 9 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
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