| ŘEHŮŘEK, Radim. Subspace Tracking for Latent Semantic Analysis. In Clough, P.; Foley, C.; Gurrin, C.; Jones, G.J.F.; Kraaij, W. (Eds.). Proceedings of the 33rd European Conference on Information Retrieval (ECIR). Heidelberg: Springer, 2011, p. 289-300. ISBN 978-3-642-20160-8. Available from: https://dx.doi.org/10.1007/978-3-642-20161-5_29. |
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@inproceedings{921972,
author = {Řehůřek, Radim},
address = {Heidelberg},
booktitle = {Proceedings of the 33rd European Conference on Information Retrieval (ECIR)},
doi = {http://dx.doi.org/10.1007/978-3-642-20161-5_29},
editor = {Clough, P.; Foley, C.; Gurrin, C.; Jones, G.J.F.; Kraaij, W. (Eds.)},
keywords = {scalability svd subspace tracking},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Heidelberg},
isbn = {978-3-642-20160-8},
pages = {289-300},
publisher = {Springer},
title = {Subspace Tracking for Latent Semantic Analysis},
url = {http://ecir2011.dcu.ie/},
year = {2011}
}
TY - JOUR
ID - 921972
AU - Řehůřek, Radim
PY - 2011
TI - Subspace Tracking for Latent Semantic Analysis
PB - Springer
CY - Heidelberg
SN - 9783642201608
KW - scalability svd subspace tracking
UR - http://ecir2011.dcu.ie/
N2 - Modern applications of Latent Semantic Analysis (LSA) must deal with enormous (often practically infinite) data collections, calling for a single-pass matrix decomposition algorithm that operates in constant memory w.r.t. the collection size. This paper introduces a \emph{streamed distributed algorithm for incremental SVD updates}. Apart from the theoretical derivation, we present experiments measuring numerical accuracy and runtime performance of the algorithm over several data collections, one of which is the whole of the English Wikipedia.
ER -
ŘEHŮŘEK, Radim. Subspace Tracking for Latent Semantic Analysis. In Clough, P.; Foley, C.; Gurrin, C.; Jones, G.J.F.; Kraaij, W. (Eds.). \textit{Proceedings of the 33rd European Conference on Information Retrieval (ECIR)}. Heidelberg: Springer, 2011, p.~289-300. ISBN~978-3-642-20160-8. Available from: https://dx.doi.org/10.1007/978-3-642-20161-5\_{}29.
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