The Optimization of Decision Rules in Multimodal Decision-Level Fusion Scheme
Autor: | Timofeev, Andrey V., Egorov, Dmitry V. |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: | |
DOI: | 10.5281/zenodo.1099654 |
Popis: | This paper introduces an original method of parametric optimization of the structure for multimodal decisionlevel fusion scheme which combines the results of the partial solution of the classification task obtained from assembly of the mono-modal classifiers. As a result, a multimodal fusion classifier which has the minimum value of the total error rate has been obtained. {"references":["Dave L. Hall and James Linas, \"Introduction to Multisensor Data\nFusion\", Proc. of IEEE, Vol. 85, No. 1, pp. 6 – 23, Jan 1997.","ISO/IEC JTC 1/SC 37 N 1506, Biometrics, 2006-02-28.","Erik Blasch, Ivan Kadar, John Salerno, Mieczyslaw Kokar, Subrata Das,\nGerald Powell, Daniel Corkill, and E. Euspini, \"Issues and Challenges in\nSituation Assessment (Level 2 Fusion)\", Journal of Advances in\nInformation Fusion, Vol 1, No 2, Dec. (2006).","Liggins, Martin E., David L. Hall, and James Llinas. \"Multisensor Data\nFusion, Second Edition Theory and Practice (Multisensor Data Fusion)\".\nCRC, (2008).","David L. Hall, Sonya A. H. McMullen, \"Mathematical Techniques in\nMultisensor Data Fusion\", Artech House (2004)","H. B. Mitchell, \"Multi-sensor Data Fusion – An Introduction\" Springer-\nVerlag, Berlin 2007)","A. C. Kak, Su-Shing, Spatial reasoning and multi-sensor fusion:\nproceedings of the 1987 workshop, American Association for Artificial\nIntelligence, 1987: Saint Charles III.","L., Xu, A., Kryzak, C.Y., Suen, \"Methods of Combining Multiple\nClassifiers and Their Application to Handwriting Recognition\", IEEE\nTrans. on Systems, Man and Cyber.,1992, vol. 22, no. 3, pp. 418-435."]} |
Databáze: | OpenAIRE |
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