Patent · US Active

Non-negative matrix factorization face recognition method and system based on kernel machine learning

US10679040B2 · kind B2 · utility

1Cited by

0References

8Claims

0Family size

Assignee

SHENZHEN UNIVERSITY · CN

Inventors

Wensheng Chen · Nanhu, CN
Yang Zhao · Tangxia, CN
Bo-Wei Chen · Hsinchu, TW
Binbin Pan · Longbeilingcun, CN

Key dates

Filing date	Feb 15, 2017
Grant date	Jun 9, 2020
Priority date	—
Expiry date	Jun 29, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30201
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

The invention provides a non-negative matrix factorization face recognition method and system based on kernel machine learning, which comprises five steps. The invention has the following beneficial effects: the invention avoids the learning of the inaccurate pre-image matrix by directly learning two kernel matrices, Kwx and Kww, and avoids the derivation of the kernel function in the iterative formula by changing the learning object, so that there is no limit to the selection of kernel function and a general algorithm for any kernel function is obtained.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.