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Learning classifiers on a partially labeled data manifold

Publication ,  Journal Article
Qiuhua, L; Xuejun, L; Carin, L
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
August 6, 2007

We present an algorithm for learning parametric classifiers on a partially labeled data manifold, based on a graph representation of the manifold. The unlabeled data are utilized by basing classifier learning on neighborhoods, formed via Markov random, walks. The proposed algorithm, yields superior performance on three benchmark data sets and the margin of improvements over existing semi-supervised algorithms is significant. © 2007 IEEE.

Duke Scholars

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

August 6, 2007

Volume

2
 

Citation

APA
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Qiuhua, L., Xuejun, L., & Carin, L. (2007). Learning classifiers on a partially labeled data manifold. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2. https://doi.org/10.1109/ICASSP.2007.366312
Qiuhua, L., L. Xuejun, and L. Carin. “Learning classifiers on a partially labeled data manifold.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2 (August 6, 2007). https://doi.org/10.1109/ICASSP.2007.366312.
Qiuhua L, Xuejun L, Carin L. Learning classifiers on a partially labeled data manifold. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2007 Aug 6;2.
Qiuhua, L., et al. “Learning classifiers on a partially labeled data manifold.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2, Aug. 2007. Scopus, doi:10.1109/ICASSP.2007.366312.
Qiuhua L, Xuejun L, Carin L. Learning classifiers on a partially labeled data manifold. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2007 Aug 6;2.

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

August 6, 2007

Volume

2