Invention Grant
- Patent Title: System and method for class specific deep learning
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Application No.: US16282592Application Date: 2019-02-22
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Publication No.: US11410086B2Publication Date: 2022-08-09
- Inventor: Arathi Sreekumari , Radhika Madhavan , Suresh Emmanuel Joel , Hariharan Ravishankar
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06N20/20
- IPC: G06N20/20 ; G06N20/10 ; G06N3/04

Abstract:
A method for controlling a physical process includes receiving an input dataset corresponding to the physical process. The method further includes determining a data model based on the input dataset. The data model includes a plurality of latent space variables of a machine learning model. The method also includes receiving a plurality of reference models corresponding to a plurality of classes. Each of the plurality of reference models includes a corresponding plurality of latent space variables. The method includes comparing the data model with each of the plurality of reference models to generate a plurality of distance metric values. The method further includes selecting a reference model among the plurality of reference models based on the plurality of distance metric values. The method also includes controlling the physical process based on the selected reference model.
Public/Granted literature
- US20190258962A1 SYSTEM AND METHOD FOR CLASS SPECIFIC DEEP LEARNING Public/Granted day:2019-08-22
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