Invention Grant
- Patent Title: Adapted domain specific class means classifier
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Application No.: US14950544Application Date: 2015-11-24
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Publication No.: US10296846B2Publication Date: 2019-05-21
- Inventor: Gabriela Csurka , Boris Chidlovskii , Stéphane Clinchant
- Applicant: Xerox Corporation
- Applicant Address: US CT Norwalk
- Assignee: XEROX CORPORATION
- Current Assignee: XEROX CORPORATION
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; G06N5/02 ; G06N20/00

Abstract:
A domain-adapted classification system and method are disclosed. The method includes mapping an input set of representations to generate an output set of representations, using a learned transformation. The input set of representations includes a set of target samples from a target domain. The input set also includes, for each of a plurality of source domains, a class representation for each of a plurality of classes. The class representations are representative of a respective set of source samples from the respective source domain labeled with a respective class. The output set of representations includes an adapted representation of each of the target samples and an adapted class representation for each of the classes for each of the source domains. A class label is predicted for at least one of the target samples based on the output set of representations and information based on the predicted class label is output.
Public/Granted literature
- US20170147944A1 ADAPTED DOMAIN SPECIFIC CLASS MEANS CLASSIFIER Public/Granted day:2017-05-25
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