Patents by Inventor Elena Evgenyevna LIMONOVA

Elena Evgenyevna LIMONOVA 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: 20240054180
    Abstract: No computationally efficient CPU-oriented algorithms of ternary and ternary-binary convolution and/or matrix multiplication are available. Accordingly, a microkernel is disclosed for high-performance matrix multiplication of binary, ternary, and ternary-binary matrices for central processing units (CPUs) with the Advanced Reduced Instruction Set Computer (RISC) Machine (ARM) v8 architecture.
    Type: Application
    Filed: June 15, 2023
    Publication date: February 15, 2024
    Inventors: Anton Vsevolodovich TRUSOV, Elena Evgenyevna LIMONOVA, Dmitry Petrovich NIKOLAEV, Vladimir Viktorovich ARLAZAROV
  • Publication number: 20230368355
    Abstract: Image quality assessment for text recognition in images with projectively distorted text fields. A projective transformation is calculated from a restored rectangle, representing a restored text field, to a source quadrangle, representing a projectively distorted text field in a source image. An approximation of a curve of a minimal scaling coefficient level on a plane corresponding to the restored rectangle is constructed, based on calculations of a discriminant of the curve. When the approximation intersects a representation of the restored rectangle, a restoration of the source image is determined to have insufficient image quality for reliable text recognition. When the approximation does not intersect the representation of the restored rectangle, a minimal scaling coefficient is calculated at a point inside the restored rectangle, and a determination of whether or not the restoration of the source image has sufficient image quality is made based on the minimal scaling coefficient.
    Type: Application
    Filed: January 26, 2023
    Publication date: November 16, 2023
    Inventors: Iuliia Aleksandrovna SHEMIAKINA, Elena Evgenyevna LIMONOVA, Natalya Sergeevna SKORYUKINA, Vladimir Viktorovich ARLAZAROV, Dmitry Petrovich NIKOLAEV
  • Publication number: 20220309320
    Abstract: Almost-indirect convolution in quantized neural networks (QNNs). In an embodiment, an indirection buffer is allocated and initialized with pointers to block of values in an input tensor representing an input image. In one or more layers of a QNN, matrix multiplication of a left matrix by a right matrix is performed over a plurality of iterations. In each iteration, a block of one or more rows of the input tensor is packed into a first cache using the indirection buffer, and a convolution kernel is applied to the packed block to produce an output. The outputs are accumulated as an output tensor representing an output image.
    Type: Application
    Filed: October 6, 2021
    Publication date: September 29, 2022
    Inventors: Anton Vsevolodovich TRUSOV, Elena Evgenyevna LIMONOVA, Sergey Aleksandrovich USILIN
  • Publication number: 20220292312
    Abstract: A bipolar morphological neural network may be generated by converting an initial neural network by replacing multiplication calculations in one or more convolutional layers with approximations that utilize maximum/minimum and/or addition/subtraction operations. The remaining part of the network may be trained after each convolutional layer is converted.
    Type: Application
    Filed: October 6, 2021
    Publication date: September 15, 2022
    Inventors: Elena Evgenyevna LIMONOVA, Dmitry Petrovich NIKOLAEV, Vladimir Viktorovich ARLAZAROV