1. A method of pattern recognition, comprising: training a plurality of observable operator models for a plurality of characteristic events, the observable operator models comprising a plurality of observable operators; receiving an unknown input; computing a plurality of matching probabilities, one matching probability for each one of the plurality of characteristic events using the plurality of observable operators, wherein each matching probability is a probability that the unknown input matches a particular characteristic event; selecting a maximum matching probability from the plurality of matching probabilities; and displaying a characteristic event having the maximum matching probability.