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GU ZECANG

Overview
  • Total Patents
    68
  • GoodIP Patent Rank
    29,226
  • Filing trend
    ⇩ 38.0%
About

GU ZECANG has a total of 68 patent applications. It decreased the IP activity by 38.0%. Its first patent ever was published in 2000. It filed its patents most often in China, Japan and United States. Its main competitors in its focus markets computer technology, audio-visual technology and it methods for management are SUPERFISH LTD, KNERON INC and STATS LLC.

Patent filings in countries

World map showing GU ZECANGs patent filings in countries

Patent filings per year

Chart showing GU ZECANGs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Gu Zecang 68
#2 Guo Nanyun 1
#3 Liu Hui 1
#4 Wang Yuexi 1

Latest patents

Publication Filing date Title
CN111523356A Multi-purpose automatic machine learning method
CN111523353A Method for processing machine understanding radar data
CN111523355A Novel definition method for probability measure of fuzzy event
CN111523354A Method for image recognition by large-scale feature set
CN111523357A Deep face recognition method
CN111523358A Method for extracting image information depth
CN111045422A Control method for automatically driving and importing 'machine intelligence acquisition' model
CN111038521A Method for forming automatic driving consciousness decision model
CN111126612A Automatic machine learning composition method
CN111046897A Method for defining fuzzy event probability measure spanning different spaces
CN111047004A Method for defining distance spanning different spaces
CN111046710A Image extraction method for importing SDL (software development language) model
CN109522778A A kind of image-recognizing method can reach image understanding level
CN109543497A A kind of construction method of more purposes control machine learning model suitable for automatic Pilot
CN109670597A A kind of more purpose control methods of the machine learning of automatic Pilot
CN108510068A A kind of ultra-deep regression analysis learning method
CN108510078A A kind of scale method for the more probability scales obtaining actual probability distribution by study
CN108510056A A kind of method that ultra-deep confrontation learns online image recognition
CN108510069A A kind of ultra-deep manifold learning
CN108510057A A kind of constructive method of the neural network model of ultra-deep confrontation study