Technological advancement

Dimensionality reduction technology is an effective learning method for high-dimensional data representation, which is widely used in feature expression in 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 various practical scenes of visual recognition.

Technology maturity

This technique is based on the graph embedding theory of dimensionality reduction technology, and a new feature extraction method for high dimensional visual data is proposed. 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.

Intellectual property

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

Expected benefits and the type of business we want to work with

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