Alignment with intra-class structure can improve classification
Publication
, Conference
Huang, J; Qiu, Q; Calderbank, R; Rodrigues, M; Sapiro, G
Published in: ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
August 4, 2015
High dimensional data is modeled using low-rank subspaces, and the probability of misclassification is expressed in terms of the principal angles between subspaces. The form taken by this expression motivates the design of a new feature extraction method that enlarges inter-class separation, while preserving intra-class structure. The method can be tuned to emphasize different features shared by members within the same class. Classification performance is compared to that of state-of-the-art methods on synthetic data and on the real face database. The probability of misclassification is decreased when intra-class structure is taken into account.
Duke Scholars
Published In
ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
DOI
ISSN
1520-6149
Publication Date
August 4, 2015
Volume
2015-August
Start / End Page
1921 / 1925
Citation
APA
Chicago
ICMJE
MLA
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Huang, J., Qiu, Q., Calderbank, R., Rodrigues, M., & Sapiro, G. (2015). Alignment with intra-class structure can improve classification. In ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (Vol. 2015-August, pp. 1921–1925). https://doi.org/10.1109/ICASSP.2015.7178305
Huang, J., Q. Qiu, R. Calderbank, M. Rodrigues, and G. Sapiro. “Alignment with intra-class structure can improve classification.” In ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2015-August:1921–25, 2015. https://doi.org/10.1109/ICASSP.2015.7178305.
Huang J, Qiu Q, Calderbank R, Rodrigues M, Sapiro G. Alignment with intra-class structure can improve classification. In: ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. 2015. p. 1921–5.
Huang, J., et al. “Alignment with intra-class structure can improve classification.” ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol. 2015-August, 2015, pp. 1921–25. Scopus, doi:10.1109/ICASSP.2015.7178305.
Huang J, Qiu Q, Calderbank R, Rodrigues M, Sapiro G. Alignment with intra-class structure can improve classification. ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. 2015. p. 1921–1925.
Published In
ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
DOI
ISSN
1520-6149
Publication Date
August 4, 2015
Volume
2015-August
Start / End Page
1921 / 1925