Welcome to Changzhou Engineering and Technology Institute of Jiangsu University!

Service hotline:13813651639

Contact Us Chinese English
Home > Technologies Available

Discriminable geometrically preserving adaptive graph embedding methods, devices, devices, and media

Release time:2023-02-17 Readin:810

1. Advanced technology

Dimension reduction technology is an effective way of learning high-dimensional data representation, which is widely used in feature representation of various big data analysis to explore the essential and useful structural feature information contained in data. Aiming at high-dimensional visual data, this technique proposes a new feature extraction method considering the geometric structure information of data sample points, which can be effectively applied to a variety of visual recognition scenes.

 

2. Technology maturity

Based on the theoretical basis of graph embedding technology, this technology proposes a new feature extraction method for high dimensional visual data. Feature extraction is a classic technique used in all kinds of big data analysis and has been widely used in the practical application of high dimensional data analysis.

 

ef107550271bbb1607f5beeceace6f48_hd

3. Situation of intellectual property rights

This technology is supported by Jiangsu University and has been supported by the National Natural Science Foundation.

 

4. Expected benefits and types of enterprises to cooperate with

This technique is a new feature extraction algorithm, which can be used in the analysis and recognition tasks of various high dimensional data.


Contact Us

Address: Fifth Floor, Block C of Tianrun Technology Building, No. 801 Changwuzhonglu, Wujin District, Changzhou, Jiangsu Province, China

Cell: 13813651639(Mrs Shi)

Email: 1320084251@qq.com

Web: www.czujs.cn

0.259873s