Patents by Inventor Christopher L. Kavanau

Christopher L. Kavanau 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: 11450082
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: September 20, 2022
    Inventor: Christopher L. Kavanau
  • Publication number: 20190197332
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Application
    Filed: December 10, 2018
    Publication date: June 27, 2019
    Inventor: Christopher L. Kavanau
  • Patent number: 10152643
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into O dimensional images.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: December 11, 2018
    Inventors: Christopher L. Kavanau, Luisa Montesano
  • Publication number: 20180053065
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Application
    Filed: October 16, 2017
    Publication date: February 22, 2018
    Inventors: Christopher L. Kavanau, Luisa Montesano
  • Patent number: 9792518
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Grant
    Filed: June 22, 2015
    Date of Patent: October 17, 2017
    Inventor: Christopher L. Kavanau
  • Publication number: 20170249523
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Application
    Filed: June 22, 2015
    Publication date: August 31, 2017
    Inventor: Christopher L. Kavanau
  • Publication number: 20160070969
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Application
    Filed: June 22, 2015
    Publication date: March 10, 2016
    Inventor: Christopher L. Kavanau
  • Patent number: 9064188
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Grant
    Filed: August 6, 2013
    Date of Patent: June 23, 2015
    Inventors: Christopher L. Kavanau, Luisa Montesano
  • Publication number: 20140072207
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into 0 dimensional images.
    Type: Application
    Filed: August 6, 2013
    Publication date: March 13, 2014
    Inventor: Christopher L. Kavanau
  • Patent number: 8503825
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into O dimensional images.
    Type: Grant
    Filed: May 6, 2005
    Date of Patent: August 6, 2013
    Inventors: Christopher L. Kavanau, Luisa Montesano-Roditis
  • Publication number: 20090274375
    Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into O dimensional images.
    Type: Application
    Filed: May 6, 2005
    Publication date: November 5, 2009
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Christopher L. Kavanau, Luisa Montesano-Roditis