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IPC Subgroup
G06V 10/766

using regression, e.g. by projecting features on hyperplanes

Introduced: January 2022

Full Title

Arrangements for image or video recognition or understanding > using pattern recognition or machine learning > using regression, e.g. by projecting features on hyperplanes

Classification Context

Section:
PHYSICS
Class:
COMPUTING OR CALCULATING; COUNTING
Subclass:
IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Additional Content

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

Top Applicants

Top 10 applicants by patent filingsfor class G06, 2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505