Abstract
This paper discusses a novel technique for information fusion. Specifically, a formula is derived for estimation of the joint probabilities in the maximum entropy sense. In addition, neural networks are used to estimate conditional probabilities required in the Bayesian inference method. Preliminary experimental results demonstrate that the proposed method can significantly improve the accuracy of the bimodal recognition system using audio/video signals.
Original language | English (US) |
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Title of host publication | IEEE International Conference on Image Processing |
Publisher | IEEE Comp Soc |
Pages | 368-371 |
Number of pages | 4 |
Volume | 1 |
State | Published - 1998 |
Event | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA Duration: Oct 4 1998 → Oct 7 1998 |
Other
Other | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) |
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City | Chicago, IL, USA |
Period | 10/4/98 → 10/7/98 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering