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Data recognition apparatus and method, and training apparatus and method

A technology of data recognition and training methods, applied in the direction of kernel methods, speech recognition, neural learning methods, etc., can solve problems such as difficulty in distinguishing from the same source, low accuracy of data recognition, and failure to satisfy users

Pending Publication Date: 2020-05-01
SAMSUNG ELECTRONICS CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, because such operations or applications are performed by such specialized computing architectures and in an automated manner different from the way they are performed in non-computer-implemented or non-automated methods, they also cause Problems or defects that occur due to the way dedicated computing architectures
[0004] Currently, when neural networks (e.g., deep neural networks (DNNs)) are used for data recognition (e.g., speech recognition, image recognition, etc.), it is often difficult to distinguish Objects, etc.) of the input data changes, which leads to low accuracy of data recognition and can not meet the needs of users

Method used

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  • Data recognition apparatus and method, and training apparatus and method
  • Data recognition apparatus and method, and training apparatus and method
  • Data recognition apparatus and method, and training apparatus and method

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Embodiment Construction

[0043] The following detailed description is provided to assist the reader in gaining an overall understanding of the methods, devices and / or systems described herein. However, various alterations, modifications, and equivalents of the methods, apparatus, and / or systems described herein will be apparent after understanding the disclosure of the present application. For example, the order of operations described herein are examples only, and are not limited to the order set forth herein, but, except for operations that must occur in a particular order, can be made that will be apparent after understanding the disclosure of this application. Change. Furthermore, descriptions of features that are known in the art may be omitted for increased clarity and conciseness.

[0044] The features described herein may be implemented in different forms and should not be construed as limited to the examples described herein. Rather, the examples described herein have been provided merely t...

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Abstract

Disclosed is a data recognition apparatus and method, and a training apparatus and method. A data recognition method includes: extracting a feature map from input data based on a feature extraction layer of a data recognition model; pooling component vectors from the feature map; and generating an embedding vector by recombining the component vectors, wherein the embedding vector is used to identify the user corresponding to the input data.

Description

[0001] This application claims the benefit of Korean Patent Application No. 10-2018-0126436 filed with the Korean Intellectual Property Office on October 23, 2018, the entire disclosure of which is hereby incorporated by reference for all purposes. technical field [0002] The following description refers to data identification. Background technique [0003] The technical automation of data recognition has been realized by the neural network model implemented by the processor as a special-purpose computing architecture, wherein the neural network model implemented by the processor after a large amount of training can provide computational accuracy between the input mode and the output mode. Intuitive mapping. The training ability to produce such a map may be referred to as the learning ability of the neural network. Furthermore, due to the specialized training, such a specially trained neural network may therefore have a generalization ability to generate relatively accurat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/084G06N3/045G10L17/02G10L17/04G10L17/18G10L17/24G06N20/10G06N3/08G10L15/02G10L15/16G06F18/2411G06F2218/16G06F2218/08
Inventor 金仁洙金圭洪崔昌圭
Owner SAMSUNG ELECTRONICS CO LTD
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