@inproceedings{2f30df668b9642caa1efb7cf06ebc546,
title = "Congruency-based reranking",
abstract = "We present a tool for re-ranking the results of a specific query by considering the (n+1) × (n+1) matrix of pairwise similarities among the elements of the set of n retrieved results and the query itself. The re-ranking thus makes use of the similarities between the various results and does not employ additional sources of information. The tool is based on graphical Bayesian models, which reinforce retrieved items strongly linked to other retrievals, and on repeated clustering to measure the stability of the obtained associations. The utility of the tool is demonstrated within the context of visual search of documents from the Cairo Genizah and for retrieval of paintings by the same artist and in the same style.",
keywords = "clustering, genizah, graphical models, image retrieval, query retrieval, reranking",
author = "Itai Ben-Shalom and Noga Levy and Lior Wolf and Nachum Dershowitz and Adiel Ben-Shalom and Roni Shweka and Yaacov Choueka and Tamir Hazan and Yaniv Bar",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014 ; Conference date: 23-06-2014 Through 28-06-2014",
year = "2014",
month = sep,
day = "24",
doi = "10.1109/CVPR.2014.270",
language = "אנגלית",
series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society",
pages = "2107--2114",
booktitle = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
address = "ארצות הברית",
}