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IPC Subgroup
G06F 18/213

Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods

Introduced: January 2023

Full Title

Pattern recognition > Analysing > Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation > Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods

Classification Context

Section:
PHYSICS
Class:
COMPUTING OR CALCULATING; COUNTING
Subclass:
ELECTRIC DIGITAL DATA PROCESSING

7 direct subcodes

Child Classifications

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  • G06F 18/2131 based on a transform domain processing, e.g. wavelet transform
  • G06F 18/2132 based on discrimination criteria, e.g. discriminant analysis
  • G06F 18/2133 based on naturality criteria, e.g. with non-negative factorisation or negative correlation
  • G06F 18/2134 based on separation criteria, e.g. independent component analysis
  • G06F 18/2135 based on approximation criteria, e.g. principal component analysis
  • G06F 18/2136 based on sparsity criteria, e.g. with an overcomplete basis
  • G06F 18/2137 based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps

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