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
Ensemble of Deep Models for Event Recognition
TL;DR: Experimental results demonstrate that the proposed approach outperforms traditional multiple classifier solutions based on uniform weighting, and outperforms recent state-of-the-art approaches.
Journal ArticleDOI
Serial Combination of Multiple Experts: A Unified Evaluation
TL;DR: A unified framework for serial multiple expert decision combination is presented, showing that many multi-expert approaches reported in the literature can be easily represented within the proposed framework.
Patent
Holistic-analytical recognition of handwritten text
TL;DR: In this paper, a combined holistic and analytic recognition system was proposed to recognize an input word or phrase image by matching an input string of character features against a string of prototype features for a plurality of reference words in a lexicon.
Proceedings ArticleDOI
A combined physical and statistical approach to colour constancy
TL;DR: A combined physical and statistical colour constancy algorithm that integrates the advantages of the statistics-based colour by correlation method with those of a physics-based technique based on the dichromatic reflectance model is introduced.
Journal ArticleDOI
Online pattern classification with multiple neural network systems: an experimental study
Chee Peng Lim,Robert F. Harrison +1 more
TL;DR: The experiments demonstrate the potentials of the proposed multiple neural network systems in offering an alternative to handle online pattern classification tasks in possibly nonstationary environments.
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