Semi-supervised multi-domain regression with distinct training sets
Publication
, Journal Article
Michaeli, T; Eldar, YC; Sapiro, G
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
October 23, 2012
We address the problems of multi-domain and single-domain regression based on distinct labeled training sets for each of the domains and a large unlabeled training set from all domains. We formulate these problems as ones of Bayesian estimation with partial knowledge of statistical relations. We propose a worst-case design strategy and study the resulting estimators. Our analysis explicitly accounts for the cardinality of the labeled sets and includes the special cases in which one of the labeled sets is very large or, in the other extreme, completely missing. We demonstrate our estimators in the context of audio-visual word recognition and provide comparisons to several recently proposed multi-modal learning algorithms. © 2012 IEEE.
Duke Scholars
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
October 23, 2012
Start / End Page
2145 / 2148
Citation
APA
Chicago
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Michaeli, T., Eldar, Y. C., & Sapiro, G. (2012). Semi-supervised multi-domain regression with distinct training sets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2145–2148. https://doi.org/10.1109/ICASSP.2012.6288336
Michaeli, T., Y. C. Eldar, and G. Sapiro. “Semi-supervised multi-domain regression with distinct training sets.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, October 23, 2012, 2145–48. https://doi.org/10.1109/ICASSP.2012.6288336.
Michaeli T, Eldar YC, Sapiro G. Semi-supervised multi-domain regression with distinct training sets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;2145–8.
Michaeli, T., et al. “Semi-supervised multi-domain regression with distinct training sets.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Oct. 2012, pp. 2145–48. Scopus, doi:10.1109/ICASSP.2012.6288336.
Michaeli T, Eldar YC, Sapiro G. Semi-supervised multi-domain regression with distinct training sets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;2145–2148.
Published In
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI
ISSN
1520-6149
Publication Date
October 23, 2012
Start / End Page
2145 / 2148