Patents by Inventor Alexander Livshitz

Alexander Livshitz 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: 10755183
    Abstract: Selecting data from a source text corpus for training a semantic data analysis system includes selecting an item of the text corpus, validating the item, extracting at least one section of the item, determining a length of each of the at least one section of the item, and subdividing each of the sections having a length greater than a predetermined amount into a plurality of fragments that are deemed to be similar. The predetermined amount may be approximately twice a size of a fragment. A fragment may have approximately 100 words or between 40 and 60 words. Fragments from different items may be deemed to be dissimilar. Sections having a length less than the predetermined amount may be ignored. Validating the item may include parsing editorial notes and other accompanying data. The source text corpus may be Wikipedia. The item may be an article.
    Type: Grant
    Filed: January 26, 2017
    Date of Patent: August 25, 2020
    Assignee: EVERNOTE CORPORATION
    Inventors: Eugene Livshitz, Alexander Pashintsev, Boris Gorbatov
  • Patent number: 10743035
    Abstract: This application is directed to vectoring a raster image in which an electronic device detects a contour of a component in the raster image, builds tangent vectors for each point of the contour and identifies a plurality of segmentation points on the contour. One or more points of sharp angle are identified on the contour in accordance with a determination that each point of sharp angle corresponds to two distinct tangent vectors and that an angle between the two distinct tangent vectors falls below a predefined threshold. A respective one of the segmentation points is positioned at each identified point of shape angle. The electronic device approximates a piecewise smooth fitting curve (e.g., a piecewise Bezier curve) having two or more fitting segments to connect the plurality of segmentation points on the contour. The piecewise smooth fitting curve is thereby provided to vectorize the raster image.
    Type: Grant
    Filed: February 19, 2019
    Date of Patent: August 11, 2020
    Assignee: EVERNOTE CORPORATION
    Inventors: Eugene Livshitz, Ilia Buriak, Natalia Galaktionova, Alexander Pashintsev, Boris Gorbatov
  • Patent number: 10739962
    Abstract: Searching for documents includes retrieving objects from a physical media image using a camera from a smartphone, a user selecting a subset of the objects, forming a search query based on the subset of objects, and applying the search query to a search engine to search for the documents. Retrieving objects from a media image may include waiting for a view of the camera to stabilize. Waiting for the view of the camera to stabilize may include detecting changing content of a video flow provided to the camera and/or using motion sensors of the camera to detect movement. Retrieving objects may include the smartphone identifying possible subsets of objects in the media image. The user selecting a subset of the objects may include the smartphone presenting at least some of the possible subsets to the user and the user selecting one of the possible subsets.
    Type: Grant
    Filed: August 19, 2016
    Date of Patent: August 11, 2020
    Assignee: EVERNOTE CORPORATION
    Inventors: Alexander Pashintsev, Eugene Livshitz, Vitaly Glazkov, P. J. Tanzillo
  • Patent number: 10691885
    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: June 23, 2020
    Assignee: EVERNOTE CORPORATION
    Inventors: Chris O'Neill, Andrew Malcolm, Alexander Pashintsev, Eugene Livshitz, Boris Gorbatov, Natalia Galaktionova, Ilya Buryak
  • Publication number: 20190318163
    Abstract: Methods and systems for training a neural network to distinguish between text documents and image documents are described. A corpus of text and image documents is obtained. A page of a text document is scanned by shifting a text window to a plurality of locations. In accordance with a determination that the text in the window at a respective location meets text line criteria, the text in the window is stored as a respective text snippet. A plurality of image windows are superimposed over at least one page of an image document. In accordance with a determination that the content of a respective image window meets image criteria, content of the image window is stored as a respective image snippet. The respective text snippet and the respective image snippet are provided to a classifier.
    Type: Application
    Filed: June 27, 2019
    Publication date: October 17, 2019
    Inventors: Alexander Pashintsev, Boris Gorbatov, Eugene Livshitz, Vitaly Glazkov
  • Publication number: 20190261024
    Abstract: This application is directed to vectoring a raster image in which an electronic device detects a contour of a component in the raster image, builds tangent vectors for each point of the contour and identifies a plurality of segmentation points on the contour. One or more points of sharp angle are identified on the contour in accordance with a determination that each point of sharp angle corresponds to two distinct tangent vectors and that an angle between the two distinct tangent vectors falls below a predefined threshold. A respective one of the segmentation points is positioned at each identified point of shape angle. The electronic device approximates a piecewise smooth fitting curve (e.g., a piecewise Bezier curve) having two or more fitting segments to connect the plurality of segmentation points on the contour. The piecewise smooth fitting curve is thereby provided to vectorize the raster image.
    Type: Application
    Filed: February 19, 2019
    Publication date: August 22, 2019
    Inventors: Eugene Livshitz, Ilia Buriak, Natalia Galaktionova, Alexander Pashintsev, Boris Gorbatov
  • Patent number: 10372981
    Abstract: Determining if a document is a text page includes partitioning the document into a plurality of cells, scaling each of the cells to a standardized number of pixels to provide a corresponding snippet for each of the cells, using a classifier to examine the snippets to determine which of the cells are classified as text and which of the cells are not classified as text, determining a volume of text for the document based on a total amount of text in the document corresponding to a sum of an amount of text in each of the cells classified as text, and determining that the document is a text page in response to the total amount exceeding a pre-determined threshold. In response to the total amount being less than the pre-determined threshold, cells not classified as text may be examined further. The classifier may be provided by training a neural net.
    Type: Grant
    Filed: September 22, 2016
    Date of Patent: August 6, 2019
    Assignee: EVERNOTE CORPORATION
    Inventors: Alexander Pashintsev, Boris Gorbatov, Eugene Livshitz, Vitaly Glazkov
  • Patent number: 5202930
    Abstract: On-line handwritten data verification, such as a signature, is obtained based on the comparison of the dynamics of a sample and a reference signatures by use of a new implementation of correlation function analysis. The dynamic data concerning scriber movement during the process of signature making is recorded and converted to digital form. Prior to correlation function analysis for evaluating a to-be-verified signature, reference signature dynamic data and to-be-verified signature dynamic data digital signals are pre-processed to eliminate time distortions. The compared signals are reduced to the same time scale, thereby providing a frequency coincidence between the signals. In order to eliminate the phase distortions, a "sliding window" mechanism is used to establish the mapping between phase coincident regions of the reference and of the to-be-verified signals. Then the multi-dimensional cross-correlation function analysis is applied to the pair of indivisible stationary signals.
    Type: Grant
    Filed: April 9, 1991
    Date of Patent: April 13, 1993
    Inventors: Alexander Livshitz, Ruth Shraiman