Patents by Inventor Jon Almazán Almazán

Jon Almazán Almazán 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).

  • Patent number: 10635949
    Abstract: A system and method enable semantic comparisons to be made between word images and concepts. Training word images and their concept labels are used to learn parameters of a neural network for embedding word images and concepts in a semantic subspace in which comparisons can be made between word images and concepts without the need for transcribing the text content of the word image. The training of the neural network aims to minimize a ranking loss over the training set where non relevant concepts for an image which are ranked more highly than relevant ones penalize the ranking loss.
    Type: Grant
    Filed: July 7, 2015
    Date of Patent: April 28, 2020
    Assignee: XEROX CORPORATION
    Inventors: Albert Gordo Soldevila, Jon Almazán Almazán, Naila Murray, Florent C. Perronnin
  • Publication number: 20170011279
    Abstract: A system and method enable semantic comparisons to be made between word images and concepts. Training word images and their concept labels are used to learn parameters of a neural network for embedding word images and concepts in a semantic subspace in which comparisons can be made between word images and concepts without the need for transcribing the text content of the word image. The training of the neural network aims to minimize a ranking loss over the training set where non relevant concepts for an image which are ranked more highly than relevant ones penalize the ranking loss.
    Type: Application
    Filed: July 7, 2015
    Publication date: January 12, 2017
    Applicant: Xerox Corporation
    Inventors: Albert Gordo Soldevila, Jon Almazán Almazán, Naila Murray, Florent C. Perronnin