Journal ArticleDOI
Methods of combining multiple classifiers and their applications to handwriting recognition
Lei Xu,Adam Krzyżak,Ching Y. Suen +2 more
- Vol. 22, Iss: 3, pp 418-435
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TLDR
On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly.Abstract:
Possible solutions to the problem of combining classifiers can be divided into three categories according to the levels of information available from the various classifiers. Four approaches based on different methodologies are proposed for solving this problem. One is suitable for combining individual classifiers such as Bayesian, k-nearest-neighbor, and various distance classifiers. The other three could be used for combining any kind of individual classifiers. On applying these methods to combine several classifiers for recognizing totally unconstrained handwritten numerals, the experimental results show that the performance of individual classifiers can be improved significantly. For example, on the US zipcode database, 98.9% recognition with 0.90% substitution and 0.2% rejection can be obtained, as well as high reliability with 95% recognition, 0% substitution, and 5% rejection. >read more
Citations
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Journal ArticleDOI
Hybrid fusion of score level and adaptive fuzzy decision level fusions for the finger-knuckle-print based authentication
Jyotsana Grover,Madasu Hanmandlu +1 more
TL;DR: The rigorous experimental results indicate that the hybrid fusion is superior to the component level fusion methods (score level and decision level fusion) to improve over the individual fusion methods.
Book ChapterDOI
Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination
TL;DR: A combination scheme labeled 'Bagfs', in which new learning sets are generated on the basis of both bootstrap replicates and selected feature subsets, shows that on average, Bagfs exhibits the best agreement between prediction and supervision.
Proceedings ArticleDOI
Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers
Weizhong Yan,Feng Xue +1 more
TL;DR: Through designing a real-world gas path fault diagnostic system, it is demonstrated that dynamic fusion of multiple classifiers can be effective in improving classification performance of gas path diagnosis.
Un état de l'art sur les fonctions de croyance appliquées au traitement de l'information
TL;DR: In this article, an etat de lart sur l'application de ce cadre theorique au traitement de l'information is proposed. Butteau et al. this article retrouve les differentes theories des mesures de confiance, i.e., un formalisme capable d'apprehender a la fois imprecision and incertitude, the theorie des fonctions de croyance.
Journal ArticleDOI
Combination of multiple classifiers using probabilistic dictionary and its application to postcode recognition
Yue Lu,Chew Lim Tan +1 more
TL;DR: This paper presents an approach to combine multiple classifiers in such a way that the combination decision is carried out at the postcode level rather than at the single character level, in which a probabilistic postcode dictionary is utilized as well to improve the post code recognition ability.
References
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Journal ArticleDOI
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