G06V 10/766 using regression, e.g. by projecting features on hyperplanes
Introduced: January 2022
Full Title
Full titles differ between systems:
Arrangements for image or video recognition or understanding > using pattern recognition or machine learning > using regression, e.g. by projecting features on hyperplanes
Arrangements for image or video recognition or understanding (character recognition in images or video G06V30/10) > using pattern recognition or machine learning (optical pattern recognition or electronic computations therefor G06V10/88) > using regression, e.g. by projecting features on hyperplanes
Additional Content IPC
LMS least mean squares RANSAC RANdom SAmple Consensus – an iterative algorithm for fitting a linear mathematical model such as a line or a plane through a set of points by eliminating the influence of outliers
No child classifications to compare. This is a leaf node in both IPC and CPC.
Top Applicants
Top Applicants (IPC)
Class G06,2013–2023, worldwide · Source: EPO PATSTAT
- SAMSUNG ELECTRONICS COMPANY KR 66,669
- IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
- MICROSOFT TECHNOLOGY LICENSING US 41,918
- GOOGLE US 32,969
- SGCC(STATE GRID CORPORATION OF CHINA) 30,822
- INTEL CORPORATION US 30,010
- TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
- HUAWEI TECHNOLOGIES COMPANY CN 26,079
- APPLE US 21,891
- HUAWEI TECHNOLOGIES COMPANY 20,505
Top Applicants (CPC)
Class G06,2013–2023, worldwide · Source: EPO PATSTAT
- SAMSUNG ELECTRONICS COMPANY KR 76,952
- IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
- MICROSOFT TECHNOLOGY LICENSING US 44,778
- GOOGLE US 35,735
- INTEL CORPORATION US 32,087
- HUAWEI TECHNOLOGIES COMPANY CN 30,572
- TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
- APPLE US 23,482
- SGCC(STATE GRID CORPORATION OF CHINA) 22,548
- HUAWEI TECHNOLOGIES COMPANY 20,917