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Biometric Authentication: A Machine Learning Approach
book

Biometric Authentication: A Machine Learning Approach

by S. Y. Kung, M. W. Mak, S. H. Lin
September 2004
Intermediate to advanced
496 pages
13h 57m
English
Pearson
Content preview from Biometric Authentication: A Machine Learning Approach

Bibliography

[1] M. A. Abidi and R. C. Gonzalez . Data Fusion in Robotics and Machine Intelligence. Boston: Academic, 1992.

[2] T. Abu-Amer and J. Carson-Berndsen . Multi-linear HMM based system for articulatory feature extraction. In Proc. ICASSP'03, volume 2, 21–24, Hong Kong, 2003.

[3] A. Acero . Acoustical and Environmental Robustness in Automatic Speech Recognition. Dordrecht: Kluwer Academic, 1992.

[4] M. Afify, Y. Gong, and J. P. Haton . A general joint additive and convolutive bias compensation approach applied to noisy Lombard speech recognition. IEEE Trans. on Speech and Audio Processing, 6(6): 524–537, 1998.

[5] H. Akaike . A new look at the statistical model identification. IEEE Trans. on Automatic Control, 19(6): 716–723, 1974.

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Publisher Resources

ISBN: 0131478249Purchase book