The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Expert conciliation for multi modal person authentication systems by Bayesian statistics
Open accessAbstract
We present an algorithm functioning as a supervisor module in a multi expert decision making machine. It uses the Bayes theory in order to estimate the biases of individual expert opinions. These are then used to calibrate and conciliate expert opinions to one opinion. We present a framework for simulating decision strategies using expert opinions whose properties are easily modifiable. By using real data coming from a person authentication system using image and speech data we were able to confirm that the proposed supervisor improves the quality of individual expert decisions by reaching success rates of 99.5 %.
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Bernardo, J. M., & Smith, A. F. M. (1994) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316870 · Cited by 2,178
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Information fusion in biometrics
Ross, A., & Jain, A. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(03)00079-5 · Cited by 1,107
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Prabhakar, S., & Jain, A. K. (2002) · Pattern Recognition · doi:10.1016/s0031-3203(01)00103-0 · Cited by 405
Fusion of face and speech data for person identity verification
Ben-Yacoub, S., Abdeljaoued, Y., & Mayoraz, E. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.788647 · Cited by 334
Metadata
- Authors
- Bigün, E. S., Bigün, J., Duc, B., & Fischer, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1997
- Pages
- 291-300
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1598554978
- Cited by
- 164
- References
- 1
- FWCI
- 10.93
- Type
- conference paper
- Language
- en
- Open access
- green
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