Patents by Inventor Madhusudara Shashanka

Madhusudara Shashanka 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).

  • Secure classifying of data with Gaussian distributions
    Patent number: 7526084
    Abstract: A first party has a data vector x and a second party has a classifier defined as a set of multivariate Gaussian distributions. A secure inner dot product procedure is applied to each multivariate Gaussian distribution and the data vector x to produce a vector ai for the first party and a vector bi for the second party for each application. The secure inner dot product is then applied to each vector bi and the data vector x to produce a scalar ri for the first party and a scalar qi for the second party for each application. A summed vector of elements [(a1x+q1+r1), . . . , (aNx+qN+rN)] is formed, and an index I of the summed vector for a particular element having a maximum value is the class of the data vector x.
    Type: Grant
    Filed: September 2, 2005
    Date of Patent: April 28, 2009
    Assignee: Mitsubishi Electric Research Laboratories, Inc.
    Inventors: Paris Smaragdis, Madhusudara Shashanka
  • Secure classifying of data with Gaussian distributions
    Publication number: 20070053507
    Abstract: A first party has a data vector x and a second party has a classifier defined as a set of multivariate Gaussian distributions. A secure inner dot product procedure is applied to each multivariate Gaussian distribution and the data vector x to produce a vector ai for the first party and a vector bi for the second party for each application. The secure inner dot product is then applied to each vector bi and the data vector x to produce a scalar ri for the first party and a scalar qi for the second party for each application. A summed vector of elements [(a1x+q1+r1), . . . , (aNx+qN+rN)] is formed, and an index I of the summed vector for a particular element having a maximum value is the class of the data vector x.
    Type: Application
    Filed: September 2, 2005
    Publication date: March 8, 2007
    Inventors: Paris Smaragdis, Madhusudara Shashanka