Multimodal similarity-preserving hashing
Masci J, Bronstein MM, Bronstein AM, Schmidhuber J. 2014. Multimodal similarity-preserving hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(4), 824–830.
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https://doi.org/10.48550/arXiv.1207.1522
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Journal Article
| Published
| English
Scopus indexed
Author
Masci, Jonathan;
Bronstein, Michael M.;
Bronstein, Alex M.ISTA ;
Schmidhuber, Jurgen
Abstract
We introduce an efficient computational framework for hashing data belonging to multiple modalities into a single representation space where they become mutually comparable. The proposed approach is based on a novel coupled siamese neural network architecture and allows unified treatment of intra- and inter-modality similarity learning. Unlike existing cross-modality similarity learning approaches, our hashing functions are not limited to binarized linear projections and can assume arbitrarily complex forms. We show experimentally that our method significantly outperforms state-of-the-art hashing approaches on multimedia retrieval tasks.
Publishing Year
Date Published
2014-04-01
Journal Title
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
IEEE
Volume
36
Issue
4
Page
824-830
ISSN
eISSN
IST-REx-ID
Cite this
Masci J, Bronstein MM, Bronstein AM, Schmidhuber J. Multimodal similarity-preserving hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014;36(4):824-830. doi:10.1109/tpami.2013.225
Masci, J., Bronstein, M. M., Bronstein, A. M., & Schmidhuber, J. (2014). Multimodal similarity-preserving hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2013.225
Masci, Jonathan, Michael M. Bronstein, Alex M. Bronstein, and Jurgen Schmidhuber. “Multimodal Similarity-Preserving Hashing.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2014. https://doi.org/10.1109/tpami.2013.225.
J. Masci, M. M. Bronstein, A. M. Bronstein, and J. Schmidhuber, “Multimodal similarity-preserving hashing,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 4. IEEE, pp. 824–830, 2014.
Masci J, Bronstein MM, Bronstein AM, Schmidhuber J. 2014. Multimodal similarity-preserving hashing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(4), 824–830.
Masci, Jonathan, et al. “Multimodal Similarity-Preserving Hashing.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 4, IEEE, 2014, pp. 824–30, doi:10.1109/tpami.2013.225.
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PMID: 26353203
PubMed | Europe PMC
arXiv 1207.1522