Patents by Inventor Pavel SUKHOV

Pavel SUKHOV 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: 11947512
    Abstract: The disclosed technology is generally directed to the compression of inverted indexes. In one example of the technology, an inverted index that includes a plurality of posting lists and metadata is provided. The inverted index indicates compression settings that are associated with the plurality of posting lists. At periodic scheduled times, a regeneration is performed on the inverted index. The regeneration includes decompressing the inverted index. The decompressing uses the compression settings indicated by the inverted index. The regeneration further includes determining compression settings to use during a next periodic scheduled time of the plurality of periodic scheduled times, such that at least a first posting list of the plurality of posting lists uses a different compression setting than a second posting list of the plurality of posting lists.
    Type: Grant
    Filed: February 22, 2022
    Date of Patent: April 2, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Torsten Amundsen, Pavel Sukhov
  • Publication number: 20240062529
    Abstract: The disclosed technology is generally directed to identifying media documents embedded within other media documents. In one example of the technology, source fingerprints are generated from input images using a source machine-learning model. The input images are derived from the media documents. Target fingerprints are generated from the input images using a target machine-learning model. The source machine-learning model includes a first neural network. The target machine-learning model includes a second neural network that is different from the first neural network. The source machine-learning model was trained in parallel with the target machine-learning model. Candidate media-document pairs from the media documents are determined based on the source fingerprints and the target fingerprints. Each candidate media-document pair includes a media document that is a candidate for being embedded in another media document.
    Type: Application
    Filed: August 18, 2022
    Publication date: February 22, 2024
    Inventors: Pavel SUKHOV, Thomas Peter KUNERT
  • Publication number: 20230267108
    Abstract: The disclosed technology is generally directed to the compression of inverted indexes. In one example of the technology, an inverted index that includes a plurality of posting lists and metadata is provided. The inverted index indicates compression settings that are associated with the plurality of posting lists. At periodic scheduled times, a regeneration is performed on the inverted index. The regeneration includes decompressing the inverted index. The decompressing uses the compression settings indicated by the inverted index. The regeneration further includes determining compression settings to use during a next periodic scheduled time of the plurality of periodic scheduled times, such that at least a first posting list of the plurality of posting lists uses a different compression setting than a second posting list of the plurality of posting lists.
    Type: Application
    Filed: February 22, 2022
    Publication date: August 24, 2023
    Inventors: Torsten AMUNDSEN, Pavel SUKHOV