Patents by Inventor Hiromitsu TOMOZAWA

Hiromitsu TOMOZAWA 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).

  • SYSTEM, METHOD, AND PROGRAM FOR PREDICTING INFORMATION
    Publication number: 20220012612
    Abstract: A system includes a learning object storing section that stores objects to be learned, a learning result storing section that stores learning results, and a control section connected to an input section. The control section computes a principal component coefficient vector of a first feature vector of an object to be processed that is designated by the input section, computes a principal component coefficient vector of a second feature vector using a principal component basis vector stored in the learning result storing section, and computes the second feature vector of the object to be processed using the principal component coefficient vector of the second feature vector.
    Type: Application
    Filed: September 22, 2021
    Publication date: January 13, 2022
    Inventors: Takeshi NAGATA, Hidemasa MAEKAWA, Makiko SUITANI, Hiromitsu TOMOZAWA, Kazutoshi MATSUZAKI, Akira SANO, Toru HAGIWARA, Akiyoshi HIZUKURI
  • System, method, and program for predicting information
    Patent number: 11144837
    Abstract: A system includes a learning object storing section that stores objects to be learned, a learning result storing section that stores learning results, and a control section connected to an input section. The control section computes a principal component coefficient vector of a first feature vector of an object to be processed that is designated by the input section, computes a principal component coefficient vector of a second feature vector using a principal component basis vector stored in the learning result storing section, and computes the second feature vector of the object to be processed using the principal component coefficient vector of the second feature vector.
    Type: Grant
    Filed: September 29, 2015
    Date of Patent: October 12, 2021
    Assignee: MIZUHO RESEARCH & TECHNOLOGIES, LTD.
    Inventors: Takeshi Nagata, Hidemasa Maekawa, Makiko Suitani, Hiromitsu Tomozawa, Kazutoshi Matsuzaki, Akira Sano, Toru Hagiwara, Akiyoshi Hizukuri
  • SYSTEM, METHOD, AND PROGRAM FOR PREDICTING INFORMATION
    Publication number: 20170323223
    Abstract: A system includes a learning object storing section that stores objects to be learned, a learning result storing section that stores learning results, and a control section connected to an input section. The control section computes a principal component coefficient vector of a first feature vector of an object to be processed that is designated by the input section, computes a principal component coefficient vector of a second feature vector using a principal component basis vector stored in the learning result storing section, and computes the second feature vector of the object to be processed using the principal component coefficient vector of the second feature vector.
    Type: Application
    Filed: September 29, 2015
    Publication date: November 9, 2017
    Applicant: MIZUHO INFORMATION & RESEARCH INSTITUTE, INC.
    Inventors: Takeshi NAGATA, Hidemasa MAEKAWA, Makiko SUITANI, Hiromitsu TOMOZAWA, Kazutoshi MATSUZAKI, Akira SANO, Toru HAGIWARA, Akiyoshi HIZUKURI