Unlock instant, AI-driven research and patent intelligence for your innovation.

Cross-modal feature mining method and components based on essential computing

A cross-modal, essential technology, applied to computer components, calculations, reasoning methods, etc., can solve problems such as limited features and low reliability

Active Publication Date: 2022-04-01
HAINAN UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the feature mining of typed resources is often performed on independent data resources, and the mined features are limited and have low reliability.

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
  • Cross-modal feature mining method and components based on essential computing
  • Cross-modal feature mining method and components based on essential computing
  • Cross-modal feature mining method and components based on essential computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] Please refer to figure 1 , figure 1 It is a flowchart of a cross-modal feature mining method based on essence calculation in an embodiment of the present invention, and the method includes the following steps:

[0049] S101. Acquire at least two typed resources.

[0050] Typed resources include data resources, information resources and knowledge resources.

[0051] Among them, the data resource Data...

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 discloses a cross-modal feature mining method, device, device and readable storage medium based on essential calculation, the method includes: acquiring at least two typed resources; the typed resources include data resources, information resources and knowledge resources ; Perform association fusion processing on at least two typed resources to obtain a fusion result; determine the fusion result as a cross-modal feature corresponding to the at least two typed resources, so as to use the cross-modal feature to process the at least two typed resources. In this method, cross-modal features are obtained by performing cross-modal association processing on at least two typed resources. Cross-modal features are obtained by associating different typed resources. For data mining of resources, the cross-modal feature can significantly increase the feature quantity of resource mining, and can increase the reliability of resource mining. This cross-modal feature is more conducive to further processing of typed resources.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a cross-modal feature mining method, device, equipment and readable storage medium based on essential computation. Background technique [0002] In order to achieve the purpose of predictive reasoning and improve the accuracy of judgment and prediction at the same time, some existing but possibly incomplete data, information, knowledge and other resources are needed as the basis and basis for predictive reasoning and association determination. These resources are collectively referred to as typed resources, with TR DIK means TR DIK :=<Data DIK ,Information DIK ,Information DIK >, where Data DIK Indicates data resources, Information DIK Indicates information resources, Information DIK Represents knowledge resources, representing three modalities respectively. [0003] At present, the feature mining of typed resources is often performed on independent data...

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 Patents(China)
IPC IPC(8): G06N5/04G06N5/02G06K9/62G06F16/2458
CPCG06N5/04G06N5/02G06F16/2465G06F18/25
Inventor 段玉聪樊珂
Owner HAINAN UNIV