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Method, device, computer equipment and storage medium for obtaining example triples

An acquisition method and triplet technology, applied in computer components, calculations, instruments, etc., can solve the problems of a large number of sample triplets, affecting the training process of the training model, etc.

Active Publication Date: 2020-06-23
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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Problems solved by technology

[0003] The main purpose of this application is to provide a method for obtaining sample triples, which aims to solve the problem that the existing method of obtaining sample triples causes the number of sample triples to be too large to affect the training process of the training model

Method used

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  • Method, device, computer equipment and storage medium for obtaining example triples
  • Method, device, computer equipment and storage medium for obtaining example triples
  • Method, device, computer equipment and storage medium for obtaining example triples

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Embodiment Construction

[0047] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0048] refer to figure 1 , a method for obtaining sample triplets in an embodiment of the present application, including:

[0049] S1: Filter all the first samples belonging to each designated person in the preset target batch data, and combine all the first samples in pairs to obtain multiple binary samples corresponding to each designated person Group.

[0050] The designated person in this embodiment generally refers to the above-mentioned sample data of the designated person as a subset of the batch data. In this embodiment, the sample data of the designated person is ...

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Abstract

The present invention discloses a method for obtaining sample triplets, which includes: screening all first samples belonging to each designated person in the preset target batch data, and combining all the first samples in pairs to form Obtain a plurality of sample dyads corresponding to each specified person; select the first sample dyad in the multiple sample dyads, and calculate the first two first sample dyads in the first sample dyad The first vector distance between samples, and respectively calculate the second vector distance between the first sample of the target specified in the first sample pair and each second sample; wherein, the second sample For example, it is the sample data in the preset target batch data except the first sample; according to the difference between each second vector distance and the first vector distance, filter the second vector corresponding to the maximum difference. Example: combine the second example corresponding to the maximum difference with the first example doublet to form a plurality of example triplets corresponding to the first example doublet.

Description

technical field [0001] The present application relates to the field of machine learning, and in particular to a method, device, computer equipment and storage medium for obtaining example triples. Background technique [0002] The selection of existing sample triplets is selected from the entire training data, resulting in a serious expansion of the total number of sample triplets, and the magnitude of the total number is a cubic proportional relationship with the magnitude of the number of samples. As a result, the sample triplets obtained by the existing method need to be input into the network model in batches for model training, but when each batch of sample triplets is sent to the training model for model training, the training will be changed. The parameters of the model make the training model parameters of each batch different during the training of the training model, so that the sample triplets entering the training model in the subsequent batches do not match the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/16G06F18/214
Inventor 赵峰王健宗肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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