Patents by Inventor George Ke

George Ke 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).

  • Publication number: 20200202254
    Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.
    Type: Application
    Filed: February 20, 2020
    Publication date: June 25, 2020
    Inventors: Patrick Hayes, Michael McCourt, Alexandra Johnson, George Ke, Scott Clark
  • Publication number: 20200166019
    Abstract: The present disclosure provides a method and device for stitching wind turbine blade images, and a storage medium. The method includes performing edge detection on a plurality of images of the blade of the wind turbine to determine a blade region for each of the plurality of images; and for each pair of images among the plurality of images of the blade of the wind turbine, which are captured successively, stitching a front end of a former one of the pair of images captured successively and a rear end of a latter one of the pair of images captured successively, wherein the front end is far away from a root of the blade of the wind turbine, and the rear end is close to the root of the blade of the wind turbine.
    Type: Application
    Filed: November 21, 2019
    Publication date: May 28, 2020
    Inventors: Wenfeng LIN, Xun LIU, Yan KE, George Christopher YAN
  • Publication number: 20200167568
    Abstract: Provided are an image processing method device, and a storage medium. The method includes: at an electronic device with a processor, a memory and a camera: acquiring first video data for commodities on a shelf; converting the first video data into a plurality of single-frame images; generating a virtual image scenario according to the plurality of single-frame images; acquiring second video data for the commodities on the shelf; performing unit identification on the plurality of single-frame images in the second video data with a preset unit identification model to identify a plurality of commodity regions; labeling the identified plurality of commodity regions; and replacing corresponding regions in the virtual image scenario with ones of the single-frame images with the labeled commodity regions.
    Type: Application
    Filed: November 21, 2019
    Publication date: May 28, 2020
    Inventors: Xiaojun Hu, Yan Ke, George Christopher Yan
  • Patent number: 10607159
    Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.
    Type: Grant
    Filed: January 9, 2019
    Date of Patent: March 31, 2020
    Assignee: SigOpt, Inc.
    Inventors: Patrick Hayes, Michael McCourt, Alexandra Johnson, George Ke, Scott Clark
  • Publication number: 20190147362
    Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.
    Type: Application
    Filed: January 9, 2019
    Publication date: May 16, 2019
    Inventors: Patrick Hayes, Michael McCourt, Alexandra Johnson, George Ke, Scott Clark
  • Patent number: 10217061
    Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: February 26, 2019
    Assignee: SigOpt, Inc.
    Inventors: Patrick Hayes, Michael McCourt, Alexandra Johnson, George Ke, Scott Clark
  • Publication number: 20180336493
    Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.
    Type: Application
    Filed: May 11, 2018
    Publication date: November 22, 2018
    Inventors: Patrick Hayes, Michael McCourt, Alexandra Johnson, George Ke, Scott Clark
  • Patent number: 8592935
    Abstract: A UV detector is designed to provide a photoresponse with a cutoff wavelength below a predetermined wavelength. The detector uses a sensor element having an active layer comprising a MgS component grown directly on a substrate. A thin layer metal layer is deposited over the active layer and forms a transparent Schottky metal layer.
    Type: Grant
    Filed: June 5, 2012
    Date of Patent: November 26, 2013
    Assignees: The Hong Kong University of Science and Technology, University of Macau
    Inventors: Iam Keong Sou, Ying Hoi Lai, Shu Kin Lok, Wai Yip Cheung, George Ke Lun Wong, Kam Weng Tam, Sut Kam Ho
  • Publication number: 20120306042
    Abstract: A UV detector is designed to provide a photoresponse with a cutoff wavelength below a predetermined wavelength. The detector uses a sensor element having an active layer comprising a MgS component grown directly on a substrate. A thin layer metal layer is deposited over the active layer and forms a transparent Schottky metal layer.
    Type: Application
    Filed: June 5, 2012
    Publication date: December 6, 2012
    Applicant: THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Iam Keong SOU, Ying Hoi LAI, Shu Kin LOK, Wai Yip CHEUNG, George Ke Lun WONG, Kam Weng TAM, Sut Kam HO
  • Publication number: 20030020021
    Abstract: The present invention relates to UV detectors comprising undoped Zn1-xMgxS as the UV responsive active material. Where x exceeds 0.3 the thickness of the active material must be below a critical value, for example if 0.30<x<1.00, and the active material is formed as a layer of a thickness t wherein 5000 Å≧t≧100 Å. A particularly preferred combination of x and thickness is x=0.57 and t≦1400 Å because at around these values the UV response of the active material is similar to the UV response of human skin.
    Type: Application
    Filed: July 23, 2001
    Publication date: January 30, 2003
    Inventors: Iam Keong Sou, Marcus Chi Wai Wu, Kam Sing Wong, George Ke-Lun Wong
  • Patent number: 6362483
    Abstract: Visible-blind UV detectors are disclosed comprising an active layer of ZnSTe alloy. The Te composition can be varied to provide good lattice matching depending on the nature of the substrate (eg Si, GaP or GaAs) and a novel structure is provided to give high quantum efficiency. The invention also discloses UV detectors with an active layer of pure ZnS and with an active layer of ZnSSe.
    Type: Grant
    Filed: December 29, 1998
    Date of Patent: March 26, 2002
    Assignee: The Hong Kong University of Science & Technology
    Inventors: Iam Keong Sou, Zhaohui Ma, Choi Lai Man, Zhi Yu Yang, Kam Sang Wong, George Ke-Lun Wong