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US Patent 10140553 Machine learning artificial intelligence system for identifying vehicles

Patent 10140553 was granted and assigned to Capital One on November, 2018 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Capital One
Capital One
1
Current Assignee
Capital One
Capital One
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
101405531
Patent Inventor Names
Qiaochu Tang1
Geoffrey Dagley1
Jason Richard Hoover1
Micah Price1
Sean Reddy1
Stephen Michael Wylie1
Sunil Subrahmanyam Vasisht1
Date of Patent
November 27, 2018
1
Patent Application Number
159159471
Date Filed
March 8, 2018
1
Patent Citations Received
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US Patent 12067605 Computer-readable medium, method, and system for providing financial products via augmented reality
2
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US Patent 11699129 Transitioning inventory search from large geographic area to immediate personal area
3
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US Patent 11699132 Methods and systems for facilitating family-based review
4
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US Patent 11335107 Generating file name using machine-learned model that relearns
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US Patent 11392695 Detecting ransomware
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US Patent 11392954 Hierarchical machine learning model for performing a decision task and an explanation task
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US Patent 11423531 Image-recognition apparatus, image-recognition method, and non-transitory computer-readable storage medium thereof
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US Patent 11836125 Scalable database dependency monitoring and visualization system
11
...
Patent Primary Examiner
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Yubin Hung
1
Patent abstract

An artificial intelligence system for identifying attributes in an image. The system may include a processor in communication with a client device; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to perform operations including: extracting first features; categorizing the first images in a first group or a second group; modifying first metadata associated with each image in the first images to include a binary label; calculating a classification function; classifying a second plurality of images using the classification function; extracting second features from the second images classified in the first group; categorizing the second images in the first group by attribute; calculating an attribute identification function that identifies attributes of the second images; and identifying at least one attribute associated with a client image using the attribute identification function, the client image being received from the client device.

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