Device and method for training a classifier

US12159447B2 · kind B2 · utility

Assignee

• Robert Bosch GmbH · DE

Inventors

• Sebastian Monka · Stuttgart, DE
• Lavdim Halilaj · Leonberg, DE
• Stefan Schmid · Waiblingen, DE

Key dates

• Filing date: Dec 1, 2021
• Grant date: Dec 3, 2024
• Expiry date: Nov 15, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/045
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A computer-implemented method for training a classifier for classifying an input signal, the input signal comprising image data, the classifier comprising an embedding part configured to determine an embedding depending on the input signal inputted into the classifier and a classification part configured to determine a classification of the input signal depending on a the embedding. The method includes: providing a first training data set of training samples, each training sample comprising an input signal and a corresponding desired classification out of a plurality of classes, providing, in a knowledge graph, additional information associated with at least one of the target classifications, providing a knowledge graph embedding method of the knowledge graph, providing a knowledge graph embedding of the knowledge graph obtained by use of a knowledge graph embedding method, training the embedding part depending on the knowledge graph embedding and the first training data set.