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Proceedings Paper

Pattern classification by learning from example and extension matrix
Author(s): Yong-Ge Wu; Jingyu Yang; Lei-Jian Liu; Ke Liu
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Paper Abstract

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.

Paper Details

Date Published: 21 September 1994
PDF: 7 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186589
Show Author Affiliations
Yong-Ge Wu, Nanjing Univ. of Science & Technology (China)
Jingyu Yang, Nanjing Univ. of Science & Technology (China)
Lei-Jian Liu, Nanjing Univ. of Science & Technology (United States)
Ke Liu, Concordia Univ. (China)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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