The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 14, 2022

Filed:

Aug. 03, 2018
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Yuan Ling, Somerville, MA (US);

Sheikh Sadid Al Hasan, Cambridge, MA (US);

Oladimeji Feyisetan Farri, Yorktown Heights, NY (US);

Junyi Liu, Windham, NH (US);

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 30/414 (2022.01); G16H 50/20 (2018.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06V 30/414 (2022.01); G06K 9/6257 (2013.01); G06N 3/04 (2013.01); G16H 50/20 (2018.01);
Abstract

Techniques are provided for generating and applying a granular attention hierarchical neural network model to classify a document. In various embodiments, data indicative of the document may be obtained () and processed () into a first layer of two or more layers of a hierarchical network model using a dual granularity attention mechanism to generate first layer output data, wherein the dual granularity attention mechanism weighs some portions of the data indicative of the document more heavily. Some portions of the data indicative of the document are integrated into the hieratical network model during training of the dual granularity attention mechanism. The first layer output data may be processed () in the second of two or more layers of the hierarchical network model to generate second layer output data. A classification label can be generated () from the second layer output data.


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