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  4. Why Do Multi-Stream, Multi-Band and Multi-Modal Approaches Work on Biometric User Authentication Tasks?
 
conference paper

Why Do Multi-Stream, Multi-Band and Multi-Modal Approaches Work on Biometric User Authentication Tasks?

Poh, Norman
•
Bengio, Samy  
2004
Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04)
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04)

Multi-band, multi-stream and multi-modal approaches have proven to be very successful both in experiments and in real-life applications, among which speech recognition and biometric authentication are of particular interest here. However, there is a lack of a theoretical study to justify why and how they work, when one combines the streams at the feature or classifier score levels. In this paper, we attempt to cast a light onto the latter subject. Our findings suggest that combining several experts using the mean operator, Multi-Layer-Perceptrons and Support Vector Machines always perform better than the average performance of the underlying experts. Furthermore, in practice, most combined experts using the methods mentioned above perform better than the best underlying expert.

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Type
conference paper
DOI
10.1109/ICASSP.2004.1327255
Author(s)
Poh, Norman
Bengio, Samy  
Date Issued

2004

Published in
Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04)
Volume

5

Start page

893

Subjects

learning

URL

URL

http://publications.idiap.ch/downloads/reports/2004/norman-2004-icassp.pdf

Related documents

http://publications.idiap.ch/index.php/publications/showcite/poh_03_vr_just:rr-03-59
Written at

EPFL

EPFL units
LIDIAP  
Event name
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-04)
Available on Infoscience
March 10, 2006
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/228480
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