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:
Aug. 27, 2019

Filed:

Mar. 20, 2017
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Leonid Bobovich, Ra'anana, IL;

Ilia Rutenburg, Ayanot, IL;

Michael Kemelmakher, Hod Hasharon, IL;

Ran Moshe Bittmann, Tel Aviv, IL;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 3/40 (2006.01); G06T 7/73 (2017.01); G06T 11/00 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06K 9/00362 (2013.01); G06K 9/00979 (2013.01); G06K 9/4628 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 9/6272 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06T 3/40 (2013.01); G06T 7/73 (2017.01); G06T 11/00 (2013.01); G06T 2210/22 (2013.01);
Abstract

In one respect, there is provided a system that may include a processor and a memory. The memory may be configured to store instructions that results in operations when executed by the processor. The operations may include: processing an image set with a convolutional neural network configured to detect, in the image set, a first feature and a second feature; determining a respective effectiveness of the first feature and the second feature in enabling the convolutional neural network to classify images in the image set; determining, based at least on the respective effectiveness of the first feature and the second feature, a first initial weight for the first feature and a second initial weight for the second feature; and initializing the convolutional neural network for training, the initialization of the convolutional neural network comprising configuring the convolutional neural network to apply the first initial weight and the second initial weight.


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