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Automatic recognition of mammographic images in breast cancer is a complex issue due to the confusing appearance of some perfectly normal tissues which look like masses. The existing computer-aided systems suffer from non-satisfactory accuracy of cancer detection. This paper addresses this problem and proposes two alternative techniques of mammogram recognition: the application of a variety of methods...
The paper presents the application of principal component analysis (PCA) and Support Vector Machine (SVM) for recognition of face images. PCA is a well known method of optimal reduction of the dimensionality of the vectors, while preserving the most important part of the original information. It maps the N-dimensional original vector x into K-dimensional output vector y, where K
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