Invention Grant
- Patent Title: Adapting pre-trained classification algorithms
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Application No.: US16831395Application Date: 2020-03-26
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Publication No.: US11275973B2Publication Date: 2022-03-15
- Inventor: Charles Otto
- Applicant: NOBLIS, INC.
- Applicant Address: US VA Reston
- Assignee: NOBLIS, INC.
- Current Assignee: NOBLIS, INC.
- Current Assignee Address: US VA Reston
- Agency: Morrison & Foerster LLP
- Main IPC: G06K9/62
- IPC: G06K9/62

Abstract:
The present disclosure is directed to data classification. An exemplary computer-enabled method for classifying image data comprises: receiving an input image patch, wherein the input image patch is of a second data domain; providing the input image patch to a preprocessing algorithm to obtain a preprocessed image patch, wherein the preprocessing algorithm is trained to transform data of the second data domain to data of a first data domain; providing the preprocessed image patch to a pre-trained classification algorithm, wherein the pre-trained classification algorithm is trained based on training data of the first data domain; obtaining one or more classification outputs from the pre-trained classification algorithm based on the preprocessed image patch.
Public/Granted literature
- US20200327382A1 ADAPTING PRE-TRAINED CLASSIFICATION ALGORITHMS Public/Granted day:2020-10-15
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