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US Patent 11042789 Normalization method for machine-learning and apparatus thereof

Patent 11042789 was granted and assigned to Lunit Inc. on June, 2021 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Lunit Inc.
Lunit Inc.
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Current Assignee
Lunit Inc.
Lunit Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
110427890
Patent Inventor Names
Jae Hwan Lee0
Date of Patent
June 22, 2021
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Patent Application Number
165353140
Date Filed
August 8, 2019
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Patent Citations
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US Patent 10423823 Unconstrained ear recognition using a combination of deep learning and handcrafted features
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US Patent 10025976 Data normalization for handwriting recognition
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US Patent 10891731 Systems and methods for pre-processing anatomical images for feeding into a classification neural network
Patent Primary Examiner
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Michael S Osinski
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Patent abstract

A normalization method for machine learning and an apparatus thereof are provided. The normalization method according to some embodiments of the present disclosure may calculate a value of a normalization parameter for an input image through a normalization model before inputting the input image to a target model and normalize the input image using the calculated value of the normalization parameter. Because the normalization model is updated based on a prediction loss of the target model, the input image can be normalized to an image suitable for a target task, so that stability of the learning and performance of the target model can be improved.

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