DATA CLASSIFICATION DEVICE AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To classify a data by reduced memories in a short calculation time. Ž

SOLUTION: An SVM classification device 34 classifies the propriety as a face image, as to a pick-up image of a feature vector generated as a test data by a feature vector extracting part 32, using an SVM classification expression f(x) shown in Fig.11 obtained by learning, based on a quadratic function k(x, z) shown in Fig.11 approximated with a kernel function expressed by an exponential function, and based on a plurality of feature vectors prepared preliminarily as a training data, where x and z represent the feature vectors, γ represents a parameter in the kernel function, a, c and q represents coefficients determined by the approximation of the kernel function, xjrepresents a j-dimensional feature amount of the feature vector x, xkrepresents a k-dimensional feature amount of the feature vector x, virepresents a support vector, vijrepresents a j-dimensional feature amount of the support vector vi, vikrepresents a k-dimensional feature amount of the support vector vi, yirepresents a label of the support vector vi, n is the number of the support vectors, d represents the dimension number of the feature vectors, and α1an b represent coefficients determined by the learning. Ž

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