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@inproceedings{970116,
author = {Zezula, Pavel},
address = {Hidlberg},
booktitle = {SOFSEM 2012: Theory and Practice of Computer Science},
doi = {http://dx.doi.org/10.1007/978-3-642-27660-6_7},
editor = {Maria Bielikova, Georg Gottlob, Stefan Katzenbeisser},
keywords = {similarity searching system},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Hidlberg},
isbn = {978-3-642-27659-0},
pages = {77-87},
publisher = {Springer},
title = {Multi Feature Indexing Network MUFIN for Similarity Search Applications},
url = {http://dx.doi.org/10.1007/978-3-642-27660-6_7},
year = {2012}
}
TY - JOUR
ID - 970116
AU - Zezula, Pavel
PY - 2012
TI - Multi Feature Indexing Network MUFIN for Similarity Search Applications
PB - Springer
CY - Hidlberg
SN - 9783642276590
KW - similarity searching system
UR - http://dx.doi.org/10.1007/978-3-642-27660-6_7
N2 - Similarity has been a central notion throughout our lives and due to the current unprecedented growth of digital data collections of various types in huge quantities, similarity management of digital data is becoming necessary. The Multi-Feature Indexing Network (MUFIN) is a generic engine for similarity search in various data collections, such as pictures, video, music, biometric data, sensor and scientific data, and many others.
ER -
ZEZULA, Pavel. Multi Feature Indexing Network MUFIN for Similarity Search Applications. In Maria Bielikova, Georg Gottlob, Stefan Katzenbeisser. \textit{SOFSEM 2012: Theory and Practice of Computer Science}. Hidlberg: Springer, 2012, s.~77-87. ISBN~978-3-642-27659-0. Dostupné z: https://dx.doi.org/10.1007/978-3-642-27660-6\_{}7.
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