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:
Nov. 21, 2023

Filed:

Jul. 21, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Sergei Chubanov, Stuttgart, DE;

Daria Stepanova, Renningen, DE;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); G06N 20/00 (2019.01); G06V 10/774 (2022.01); G06V 30/19 (2022.01); G06F 18/214 (2023.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06F 18/2451 (2023.01);
U.S. Cl.
CPC ...
G06V 20/56 (2022.01); G06F 18/214 (2023.01); G06F 18/2148 (2023.01); G06F 18/2451 (2023.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/7747 (2022.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01);
Abstract

A method for training a polyhedral classifier is described including obtaining training data in a data space, the training data including first data points associated with a first label and second data points associated with a second label, determining a pair of hyperplanes by determining an orientation of the pair of hyperplanes based on a minimization of a distance between the pair of hyperplanes such that the first data points lie between the hyperplanes in relation to a distance between the pair of hyperplanes such that both the first data points and the second data points lie between the hyperplanes and determining the position of the pair of hyperplanes such that the first data points lie between the pair of hyperplanes and the second data points are at least partially separated from the first data points by the pair of hyperplanes.


Find Patent Forward Citations

Loading…