Patents by Inventor Yaroslav Bulatov

Yaroslav Bulatov 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: 9454714
    Abstract: Systems and methods for sequence transcription with neural networks are provided. More particularly, a neural network can be implemented to map a plurality of training images received by the neural network into a probabilistic model of sequences comprising P(S|X) by maximizing log P(S|X) on the plurality of training images. X represents an input image and S represents an output sequence of characters for the input image. The trained neural network can process a received image containing characters associated with building numbers. The trained neural network can generate a predicted sequence of characters by processing the received image.
    Type: Grant
    Filed: December 31, 2014
    Date of Patent: September 27, 2016
    Assignee: Google Inc.
    Inventors: Julian Ibarz, Yaroslav Bulatov, Ian Goodfellow
  • Patent number: 8965112
    Abstract: Systems and methods for sequence transcription with neural networks are provided. More particularly, a neural network can be implemented to map a plurality of training images received by the neural network into a probabilistic model of sequences comprising P(S|X) by maximizing log P(S|X) on the plurality of training images. X represents an input image and S represents an output sequence of characters for the input image. The trained neural network can process a received image containing characters associated with building numbers. The trained neural network can generate a predicted sequence of characters by processing the received image.
    Type: Grant
    Filed: December 17, 2013
    Date of Patent: February 24, 2015
    Assignee: Google Inc.
    Inventors: Julian Ibarz, Yaroslav Bulatov, Ian Goodfellow