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Consensus theoretic classification methods
Abstract
Consensus theory is adopted as a means of classifying geographic data from multiple sources. The foundations and usefulness of different consensus theoretic methods are discussed in conjunction with pattern recognition. Weight selections for different data sources are considered and modeling of non-Gaussian data is investigated. The application of consensus theory in pattern recognition is tested on two data sets: (1) multisource remote sensing and geographic data, and (2) very-high-dimensional remote sensing data. The results obtained using consensus theoretic methods are found to compare favorably with those obtained using well-known pattern recognition methods. The consensus theoretic methods can be applied in cases where the Gaussian maximum likelihood method cannot. Also, the consensus theoretic methods are computationally less demanding than the Gaussian maximum likelihood method and provide a means for weighting data sources differently.>
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Cited by
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Holzinger, A. (2016) · Brain Informatics · doi:10.1007/s40708-016-0042-6 · Cited by 906
Boosting and Other Ensemble Methods
Drucker, H., Cortes, C., Jackel, L. D., LeCun, Y., & Vapnik, V. (1994) · Neural Computation · doi:10.1162/neco.1994.6.6.1289 · Cited by 357
Ensembles of Learning Machines
Valentini, G., & Masulli, F. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45808-5_1 · Cited by 276
Metadata
- Authors
- Benediktsson, J. A., & Swain, P. H.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1992
- Volume
- 22
- Issue
- 4
- Pages
- 688-704
- ISSN
- 0018-9472 (ISSN-L)
- OpenAlex
- W2154231986
- Cited by
- 357
- References
- 0
- FWCI
- 23.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Benediktsson, J. A., & Swain, P. H. (1992). Consensus theoretic classification methods. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/21.156582
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