Pattern classification by learning from example and extension matrix

Yong-Ge Wu; Jingyu Yang; Lei-Jian Liu; Ke Liu

doi:10.1117/12.186589

21 September 1994 Pattern classification by learning from example and extension matrix

Yong-Ge Wu, Jingyu Yang, Lei-Jian Liu, Ke Liu

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186589
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Yong-Ge Wu, Jingyu Yang, Lei-Jian Liu, and Ke Liu "Pattern classification by learning from example and extension matrix", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186589

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