An Architecture to Efficiently Learn Co-Similarities from Multi-view Datasets

Abstract

In this paper, we introduce the MVSim architecture which is able to cluster multi-view datasets (i.e. datasets containing several objects linked together by different relations), by using several instances of a co-similarity algorithm. We show that this framework provides better results than existing approaches, while reducing both time and space… (More)
DOI: 10.1007/978-3-642-34475-6_23

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Cite this paper

@inproceedings{Bisson2012AnAT, title={An Architecture to Efficiently Learn Co-Similarities from Multi-view Datasets}, author={Gilles Bisson and Cl{\'e}ment Grimal}, booktitle={ICONIP}, year={2012} }