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SYSTEM FOR DOMAIN ADAPTATION WITH A DOMAIN-SPECIFIC CLASS MEANS CLASSIFIER

  • US 20160078359A1
  • Filed: 10/02/2014
  • Published: 03/17/2016
  • Est. Priority Date: 09/12/2014
  • Status: Abandoned Application
First Claim
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1. A classification system comprising:

  • memory which stores;

    for each of a set of classes, a classifier model for assigning a class probability to a test sample from a target domain, the classifier model having been learned with training samples from the target domain and training samples from at least one source domain different from the target domain, each classifier model modeling the respective class as a mixture of components, the mixture of components including a component for each of the at least one source domain and a component for the target domain, each component being a function of a distance between the test sample and a domain-specific class representation which is derived from the training samples of the respective domain that are labeled with the class, each of the components in the mixture being weighted by a respective mixture weight; and

    instructions for labeling the test sample based on the class probabilities assigned by the classifier models; and

    a processor in communication with the memory which executes the instructions.

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