Patents by Inventor Max Weiland Rosen

Max Weiland Rosen 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).

  • SYSTEMS AND METHODS FOR AUTOMATED CLASSIFICATION OF A DOCUMENT
    Publication number: 20240070170
    Abstract: A method for extracting information from a dataset, e.g., a document, includes: receiving the dataset at an information handling device, optionally, extracting, via optical character recognition implemented by a processor of the information handling device, textual information associated with the dataset, and classifying the dataset into one of a plurality of classes. Classifying the dataset may include computing a similarity score for each of the plurality of classes for each of a plurality of window regions of the dataset, calculating a subset of highest similarity scores for each of the plurality of classes for each of the plurality of window regions, determining overall similarity scores for each of the plurality of classes, and classifying the dataset as corresponding to a class with a highest overall similarity score.
    Type: Application
    Filed: August 31, 2023
    Publication date: February 29, 2024
    Applicant: GRAIL, LLC
    Inventors: Kathan ROBERTS, Max Weiland ROSEN, Joerg BREDNO, Jafi LIPSON, Harit NANDANI
  • Systems and methods for automated classification of a document
    Patent number: 11782957
    Abstract: A method for extracting information from a dataset, e.g., a document, includes: receiving the dataset at an information handling device, optionally, extracting, via optical character recognition implemented by a processor of the information handling device, textual information associated with the dataset, and classifying the dataset into one of a plurality of classes. Classifying the dataset may include computing a similarity score for each of the plurality of classes for each of a plurality of window regions of the dataset, calculating a subset of highest similarity scores for each of the plurality of classes for each of the plurality of window regions, determining overall similarity scores for each of the plurality of classes, and classifying the dataset as corresponding to a class with a highest overall similarity score.
    Type: Grant
    Filed: April 6, 2022
    Date of Patent: October 10, 2023
    Assignee: GRAIL, LLC
    Inventors: Kathan Roberts, Max Weiland Rosen, Joerg Bredno, Jafi Lipson, Harit Nandani
  • SYSTEMS AND METHODS FOR AUTOMATED CLASSIFICATION OF A DOCUMENT
    Publication number: 20220327145
    Abstract: A method for extracting information from a dataset, e.g., a document, includes: receiving the dataset at an information handling device, optionally, extracting, via optical character recognition implemented by a processor of the information handling device, textual information associated with the dataset, and classifying the dataset into one of a plurality of classes. Classifying the dataset may include computing a similarity score for each of the plurality of classes for each of a plurality of window regions of the dataset, calculating a subset of highest similarity scores for each of the plurality of classes for each of the plurality of window regions, determining overall similarity scores for each of the plurality of classes, and classifying the dataset as corresponding to a class with a highest overall similarity score.
    Type: Application
    Filed: April 6, 2022
    Publication date: October 13, 2022
    Applicant: GRAIL, LLC
    Inventors: Kathan Roberts, Max Weiland Rosen, Joerg Bredno, Jafi Lipson, Harit Nandani