1. A method for learning of a classifier using a plurality of samples, the method comprising: adding unlabeled samples to existing samples; extracting candidate samples for new support vectors from the added unlabeled samples using a plurality of existing support vectors; and selecting the new support vectors from the candidate samples using the plurality of existing support vectors.