Patents by Inventor Ygal G. Guez

Ygal G. Guez 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).

  • Object recognition system employing a sparse comparison neural network
    Patent number: 5293456
    Abstract: A neural network for comparing a known input to an unknown input comprises a first layer for receiving a first known input tensor and a first unknown input tensor. A second layer receives the first known and unknown input tensors. The second layer has at least one first trainable weight tensor associated with the first known input tensor and at least one second trainable weight tensor associated with the first unknown input tensor. The second layer includes at least one first processing element for transforming the first known input tensor on the first trainable weight tensor to produce a first known output and at least one second processing element for transforming the first unknown input tensor on the second trainable weight tensor to produce a first unknown output. The first known output comprises a first known output tensor of at least rank zero and has a third trainable weight tensor associated therewith.
    Type: Grant
    Filed: June 28, 1991
    Date of Patent: March 8, 1994
    Assignee: E. I. du Pont de Nemours and Company
    Inventors: Ygal G. Guez, Richard G. Stafford