21 September 1994 Pattern classification by learning from example and extension matrix
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Sometimes the classifiers based on the features extracted from patterns may not be robust, in this case, to obtain better classification results, man's interruption is needed, then subjectivity and uncertainty due to man's action are followed as a result. In this paper, an algorithm able to automatically create a classifier is provided by the technique of learning from examples, with which pattern recognition, such as the facial images recognition, are completed.
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Yong-Ge Wu, Yong-Ge Wu, Jingyu Yang, Jingyu Yang, Lei-Jian Liu, Lei-Jian Liu, Ke Liu, Ke Liu, } "Pattern classification by learning from example and extension matrix", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186589; https://doi.org/10.1117/12.186589


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