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US Patent 9704054 Cluster-trained machine learning for image processing

Patent 9704054 was granted and assigned to Amazon on July, 2017 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
97040540
Patent Inventor Names
Avinash Aghoram Ravichandran0
Baoyuan Liu0
Hakan Boyraz0
Marshall Friend Tappen0
Date of Patent
July 11, 2017
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Patent Application Number
148705750
Date Filed
September 30, 2015
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Patent Citations Received
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US Patent 11769078 Systems and methods for transfer learning of neural networks
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US Patent 12008498 Log scaling system and related methods
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US Patent 12107742 Machine learning to enhance satellite terminal performance
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US Patent 11853889 Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis
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US Patent 11861514 Using machine learning algorithms to prepare training datasets
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US Patent 11954572 Optimizing training data for image classification
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US Patent 11823351 Image processing method and image processing apparatus
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Patent Primary Examiner
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Bhavesh Mehta
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Patent abstract

Image classification and related imaging tasks performed using machine learning tools may be accelerated by using one or more of such tools to associate an image with a cluster of such labels or categories, and then to select one of the labels or categories of the cluster as associated with the image. The clusters of labels or categories may comprise labels that are mutually confused for one another, e.g., two or more labels or categories that have been identified as associated with a single image. By defining clusters of labels or categories, and configuring a machine learning tool to associate an image with one of the clusters, processes for identifying labels or categories associated with images may be accelerated because computations associated with labels or categories not included in the cluster may be omitted.

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