Patent Document ID: 9141881
Application ID: 13778718
Patent Flag: 1

Claim One:
1. A classification method in a feature space including one or more feature vectors, all of or some of the feature vectors being identified as support vector(s), comprising: creating a maximum hypersphere in the feature space, according to the support vector(s); creating a minimum hypersphere in the feature space according to the support vector(s); judging whether there is only one feature vector within the minimum hypersphere; determining only one feature vector as a center of the maximum hypersphere, if there is the only one feature vector within the minimum hypersphere; estimating a center of the minimum hypersphere as the center of the maximum hypersphere, if there are more than one feature vectors within the minimum hypersphere creating a decision hypersphere based on the calculated center of the created maximum hypersphere and the created maximum hypersphere; and classifying feature vector(s) within the decision hypersphere as positive feature vector(s).