Lee et al., 1989 - Google Patents
Classifiers: Adaptive modules in pattern recognition systemsLee et al., 1989
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- 12449108771403778100
- Author
- Lee Y
- et al.
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Classifiers are adaptive components of pattern recognition systems capable of improving recognition performance. Their ability to learn from examples is believed to be the essence of intelligent systems, eight classifiers representing major categories of classification …
- 238000003909 pattern recognition 0 title abstract description 65
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
- G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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- G06K9/6269—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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- G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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