Patents by Inventor Anna Podgornyak

Anna Podgornyak 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).

  • Convolutional neural network with augmentation features
    Patent number: 10936914
    Abstract: A method, computer program product, and a system where a processor(s) obtains an original image. The processor(s) applies a number of filters to the original image to generate a group of filtered images. The processor(s) stacks the original image with the filtered images in a three dimensional array; each layer of the stack comprises a separate filtered image or the original image and the three dimensional array comprises an augmented version of the original image. The processor(s) facilitates classification of the original image by a deep convolution neural network, where the facilitating comprises providing the augmented version of the original image to the deep convolution neural network, and where the deep convolution neural network classifies the original image based on applying a classification model to the augmented version of the original image The processor(s) receives the classification of the original image from the deep convolution neural network.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: March 2, 2021
    Assignee: International Business Machines Corporation
    Inventors: Andeep S. Toor, Mohamed N. Ahmed, Michelle H. Jung, Krista Kinnard, Anna Podgornyak, Daniel Anderson, Emily Fontaine
  • CONVOLUTIONAL NEURAL NETWORK WITH AUGMENTATION FEATURES
    Publication number: 20200042833
    Abstract: A method, computer program product, and a system where a processor(s) obtains an original image. The processor(s) applies a number of filters to the original image to generate a group of filtered images. The processor(s) stacks the original image with the filtered images in a three dimensional array; each layer of the stack comprises a separate filtered image or the original image and the three dimensional array comprises an augmented version of the original image. The processor(s) facilitates classification of the original image by a deep convolution neural network, where the facilitating comprises providing the augmented version of the original image to the deep convolution neural network, and where the deep convolution neural network classifies the original image based on applying a classification model to the augmented version of the original image The processor(s) receives the classification of the original image from the deep convolution neural network.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Inventors: Andeep S. Toor, Mohamed N. Ahmed, Michelle H. Jung, Krista Kinnard, Anna Podgornyak, Daniel Anderson, Emily Fontaine