Patents by Inventor Jorn-Henrik JACOBSEN

Jorn-Henrik JACOBSEN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • DEEP RECEPTIVE FIELD NETWORKS
    Publication number: 20200226427
    Abstract: The invention provides a method for recognition of information in digital image data, said method comprising a learning phase on a data set of example digital images having known information, and characteristics of categories are computed automatically from each example digital image and compared to its known category, said method comprises training a convolutional neural network comprising network parameters using said data set, in which via deep learning each layer of said convolutional neural network is represented by a linear decomposition of all filters as learned in each layer into basis functions.
    Type: Application
    Filed: March 30, 2020
    Publication date: July 16, 2020
    Applicant: KEPLER VISION TECHNOLOGIES BV
    Inventors: Jörn-Henrik JACOBSEN, Johannes Christianus VAN GEMERT, Reinier VAN DEN BOOMGAARD, Zhongyu LOU, Arnoldus Wilhelmus Maria SMEULDERS
  • Deep receptive field networks
    Patent number: 10607117
    Abstract: The invention provides a method for recognition of information in digital image data, said method comprising a learning phase on a data set of example digital images having known information, and characteristics of categories are computed automatically from each example digital image and compared to its known category, said method comprises training a convolutional neural network comprising network parameters using said data set, in which via deep learning each layer of said convolutional neural network is represented by a linear decomposition of all filters as learned in each layer into basis functions.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: March 31, 2020
    Assignee: KEPLER VISION TECHNOLOGIES B.V.
    Inventors: Jorn-Henrik Jacobsen, Johannes Christianus Van Gemert, Reinier Van Den Boomgaard, Zhongyu Lou, Arnoldus Wilhelmus Maria Smeulders
  • DEEP RECEPTIVE FIELD NETWORKS
    Publication number: 20180225550
    Abstract: The invention provides a method for recognition of information in digital image data, said method comprising a learning phase on a data set of example digital images having known information, and characteristics of categories are computed automatically from each example digital image and compared to its known category, said method comprises training a convolutional neural network comprising network parameters using said data set, in which via deep learning each layer of said convolutional neural network is represented by a linear decomposition of all filters as learned in each layer into basis functions.
    Type: Application
    Filed: June 3, 2016
    Publication date: August 9, 2018
    Applicant: UNIVERSITEIT VAN AMSTERDAM
    Inventors: Jorn-Henrik JACOBSEN, Johannes Christianus VAN GEMERT, Reinier VAN DEN BOOMGAARD, Zhongyu LOU, Arnoldus Wilhelmus Maria SMEULDERS