Information fusion and adaptive coupling method of extensively-related sparse matrix space

An adaptive matching, sparse matrix technology, applied in the field of artificial intelligence, can solve problems such as difficulty in implementing mobile environment applications, excessive time and communication resource overhead, and difficulty in ensuring global stability and convergence.

Active Publication Date: 2016-11-16
金维度信息科技(北京)有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solve the problem that the existing similar methods are difficult to integrate global elements due to the lack of a unified system architecture and heterogeneous information fusion method; the application layer has too much time and communication resource overhead, and it is difficult to realize the mobile terminal environment Application problems; it is difficult to guarantee global stability and convergence at the technical level

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
  • Information fusion and adaptive coupling method of extensively-related sparse matrix space
  • Information fusion and adaptive coupling method of extensively-related sparse matrix space
  • Information fusion and adaptive coupling method of extensively-related sparse matrix space

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to achieve the above purpose, the technical solution adopted by the present invention is an information fusion and intelligent adaptive matching method based on the heterogeneous space of pan-correlation sparse matrix: including the construction method of pan-correlation sparse matrix heterogeneous space, multi-module sparse coding And intelligent adaptive matching three parts.

[0032] First, the heterogeneous space of the first part of the pan-correlation sparse matrix in the present invention can be divided into a recognition stage and a construction stage.

[0033] And, described identification stage comprises following two steps:

[0034] Step 1. The system obtains metadata input such as QR codes, pictures, videos, audio, and text sequences through smart devices linked to multi-dimensional channels, and recognizes people and things (including but not limited to commodities, events, etc.) through the existing recognition system. , scene and non-character a...

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 an information fusion and adaptive coupling method of an extensively-related sparse matrix space and belongs to the technical field of artificial intelligence. The invention comprises steps of 1) establishing an extensively-related sparse matrix information space and achieving a fusion expression of complex heterogeneous information; 2) providing an establishing method of the extensively-related sparse matrix and designing multi-module sparse coding; 3) defining operation rules of heterogeneous elements in the extensively-related sparse matrix information space; and 4) accordingly achieving a multi-attribute intelligent matching and service discovery system. The problem that global elements cannot be fused because existing methods of the same kind do not have a unified system configuration and heterogeneous information fusing method and adopt classification and layered optimization is solved. The problem that the time resource cost in application level is too much and the movable end environmental application is difficult to achieve is solved. The problem that the global stability and convergence in technology level is hard to ensure is solved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and relates to an information fusion and self-adaptive matching method of a pan-correlation sparse matrix. Background technique [0002] Information matching is a hot spot in the field of artificial intelligence technology, and it is widely used in commodity identification and product recommendation systems, especially in some commercial systems. Various types of information and the heterogeneity and complexity of emerging information doomed the importance of the fusion of relevant information in information matching, so information fusion has attracted great attention and extensive research in recent years. However, due to the huge amount of information and the variety of types, information fusion is facing unprecedented challenges, which is far from meeting the needs of users. In some existing commercial systems, the identification of a large number of objects with specific attr...

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
CPCG06F18/22G06F18/25
Inventor 张勤胡飞蔡旭芬
Owner 金维度信息科技(北京)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap