Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Sample fusion method and device

A fusion method and sample technology, applied in the field of data processing, can solve problems such as inefficiency and poor accuracy, and achieve the effect of alleviating inefficiency

Pending Publication Date: 2020-09-08
NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the object of the present invention is to provide a sample fusion method and device to alleviate the technical problems of low efficiency and poor accuracy of traditional sample fusion methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sample fusion method and device
  • Sample fusion method and device
  • Sample fusion method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] According to an embodiment of the present invention, an embodiment of a sample fusion method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although The logical sequence is shown in the flowchart, but in some cases, the steps shown or described may be performed in a different order than here.

[0025] figure 1 Is a flowchart of a sample fusion method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0026] Step S102: Obtain a sample to be fused carrying tag information of the original tag; the tag information of the original tag includes the tag content and tag name of the original tag.

[0027] In this application, the sample to be fused may be an open source data set, or other data sets capable of performing sample fusion, which is not specifically limited in t...

Embodiment 2

[0082] The embodiment of the present invention also provides a sample fusion device, which is mainly used to implement the sample fusion method provided in the above content of the embodiment of the present invention. The following describes the sample fusion device provided in the embodiment of the present invention in detail.

[0083] image 3 Is a schematic diagram of a sample fusion device according to an embodiment of the present invention, such as image 3 As shown, the sample fusion device mainly includes: an acquisition unit 10, a data inference unit 20, and a fusion unit 30, where:

[0084] The obtaining unit 10 is configured to obtain a sample to be fused carrying tag information of the original tag; the tag information of the original tag includes the tag content and the tag name of the original tag;

[0085] The data reasoning unit 20 is configured to perform data reasoning on the sample to be fused through a pre-trained preset neural network to obtain a data reasoning res...

Embodiment 3

[0098] See Figure 4 , The embodiment of the present invention also provides an electronic device 100, including: a processor 40, a memory 41, a bus 42 and a communication interface 43, the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; the processor 40 uses The executable module stored in the memory 41 is executed, such as a computer program.

[0099] The memory 41 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the Internet, a wide area network, a local network, a metropolitan area network, etc. may be used.

[0100] The bus 42 may be an ISA bus, a PCI bus, an EISA bus, or the like. The bus can be divided i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a sample fusion method and device, and relates to the technical field of data processing, and the method comprises the steps: obtaining a to-be-fused sample, wherein the to-be-fused sample carries label information of an original label, and the label information of the original label comprises the label content and the label name of the original label; performing data reasoning on the to-be-fused sample through a pre-trained preset neural network to obtain a data reasoning result, wherein the data reasoning result comprises label information of a prediction label of theto-be-fused sample, and the label information of the prediction label comprises the label content and the label name of the prediction label; and performing sample fusion processing on the to-be-fusedsample based on the label information of the prediction label of the to-be-fused sample and the label information of the original label in the data reasoning result. The technical problems that a traditional sample fusion mode is low in efficiency and poor in accuracy are solved.

Description

Technical field [0001] The present invention relates to the technical field of data processing, in particular to a sample fusion method and device. Background technique [0002] With the rapid development of artificial intelligence technology, the application of artificial intelligence technology has become more and more extensive, for example, in the field of image recognition. In artificial intelligence technology, a common technical solution is to process data through a neural network, for example, through a neural network to recognize an image to obtain a recognition result. However, when the neural network is used for image recognition, the neural network needs to be trained, and the training accuracy of the neural network will affect its test accuracy. Therefore, the training of neural networks is particularly important. In the process of training the neural network, a large number of sample sets are required. For example, open source data sets can be used for network tr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/251G06F18/25
Inventor 苏英菲
Owner NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com