Patent ID: 6934364

Claim:
A method for training a computer-implemented classification system to be able to identify a handset used over a communication network, comprising: (a) transforming training data for a plurality of handset types into a composite dataset including training feature vectors; (b) configuring a plurality of classifiers based on said composite dataset, including: (1) associating one of said classifiers with one of said handset types not previously associated with any other of said classifiers; (2) training said classifier of (1) to recognize, within said composite dataset, (A) a first class of training feature vectors related to said associated handset type, and (B) a second class of training feature vectors related to other handset types; (3) repeating (1) and (2) for at least another of said classifiers; and (c) storing a result of (b) in a computer-readable memory so as to be usable to (i) correlate an unidentified handset's test feature vectors against said trained classifiers, (ii) select one of said classifiers exhibiting the greatest correlation, and (iii) determine said handset type associated with said selected classifier.