Hewlett-Packard Development Company, L.p.

Purdy Ho

Pedro J Moreno

There is provided a method for classifying, identifying or verifying an object by representing the object by a respective sequence of vectors, modeling the sequence of vectors with a respective generative model such that the object is represented by the generative model, computing the distances between the generative models to form one or many kernel matrices based on the distance metric, and using the kernel matrices to classify, identify or verify the object. There is provided a system for determining a classification of an object having a representation module for representing an object by a respective sequence of vectors, a modeling module for modeling the sequence of vectors with a respective generative model such that the object is represented by the generative model, a distance computing module for calculating the distances between the generative models to form one or many kernel matrices based on the distance metric, and a determination module for classifying, identifying or verifying the object based on the kernel matrices.

Method and apparatus for object identification, classification or verification

A system for identifying a handset used over a communication network comprises a composite database including training data for a plurality of handset types, a plurality of support vector machines trained to identify, respectively, at least one of the plurality of handset types, and an interface operable to receive audio testing data for an unidentified handset. Each support vector machine is configured to determine its degree of recognition of the audio testing data. The system also includes a processor configured to identify unidentified handset by determining the support vector machine exhibiting the highest degree of recognition.

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Purdy Ho