IEEE Transactions on Pattern Analysis and Machine Intelligence · 1995 · 561 citations · 7 references
ComputingComputer ScienceArtificial IntelligenceComputer VisionMachine LearningClassificationEnsemble LearningEnsemble MethodsExpert SystemsNumeral RecognitionPattern RecognitionAccuracyClassifier FusionHandwriting RecognitionMixture Of ClassifiersMixture Of ExpertsMulti-classifier FusionMultiple Classifier SystemsNumeral Classification
For pattern recognition, when a single classifier cannot provide a decision which is 100 percent correct, multiple classifiers should be able to achieve higher accuracy. This is because group decisions are generally better than any individual's. Based on this concept, a method called the "Behavior-Knowledge Space Method" was developed, which can aggregate the decisions obtained from individual classifiers and derive the best final decisions from the statistical point of view. Experiments on 46451 samples of unconstrained handwritten numerals have shown that this method achieves very promising performances and outperforms voting, Bayesian, and Dempster-Shafer approaches.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Historical review of OCR research and development
S. Mori, Ching Y. Suen, Kazuhiko Yamamoto · Proceedings of the IEEE · 1992 · 869 citations
Building a new generation of handwriting recognition systems
Ching Y. Suen, R. Legault, C. Nadal et al. · Pattern Recognition Letters · 1993 · 107 citations