@InProceedings{AlbertGordo2012,
author="Albert Gordo
and Florent Perronnin
and Ernest Valveny",
title="Document classification using multiple views",
booktitle="10th IAPR International Workshop on Document Analysis Systems",
year="2012",
publisher="IEEE Computer Society Washington",
pages="33--37",
abstract="The combination of multiple features or views when representing documents or other kinds of objects usually leads to improved results in classification (and retrieval) tasks. Most systems assume that those views will be available both at training and test time. However, some views may be too {\textquoteleft}expensive{\textquoteright} to be available at test time. In this paper, we consider the use of Canonical Correlation Analysis to leverage {\textquoteleft}expensive{\textquoteright} views that are available only at training time. Experimental results show that this information may significantly improve the results in a classification task.",
optnote="DAG",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2049), last updated on Mon, 07 Jan 2013 10:29:57 +0100",
isbn="978-0-7695-4661-2",
doi="10.1109/DAS.2012.30",
file=":http://refbase.cvc.uab.es/files/GPV2012.pdf:PDF"
}