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» Measuring a Cross Language Image Retrieval System
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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 6 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...
COLING
2010
13 years 2 months ago
Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs
In cross-language information retrieval it is often important to align words that are similar in meaning in two corpora written in different languages. Previous research shows tha...
Daniel Andrade, Tetsuya Nasukawa, Jun-ichi Tsujii
ICCV
1998
IEEE
13 years 12 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
DRR
2010
13 years 10 months ago
Biomedical article retrieval using multimodal features and image annotations in region-based CBIR
Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for in...
Daekeun You, Sameer Antani, Dina Demner-Fushman, M...
LREC
2008
115views Education» more  LREC 2008»
13 years 9 months ago
Evaluating Robustness Of A QA System Through A Corpus Of Real-Life Questions
This paper presents the sequential evaluation of the question answering system SQuaLIA. This system is based on the same sequential process as most statistical question answering ...
Laurianne Sitbon, Patrice Bellot, Philippe Blache