Patents by Inventor John C. Liechty

John C. Liechty 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).

  • Single-pass low-storage arbitrary probabilistic location estimation for massive data sets
    Patent number: 7076487
    Abstract: The present invention includes a method and system for providing an estimate of a summary of a data set generated by an unknown distribution. The method includes selecting a subset of data points from the data set, applying a scoring rule to each data point of the subset of data points based on an estimated relative location and an assigned weight for each data point to provide a score for each data point, selectively retaining data points to track based on the score for each data point; and determining an estimate of the summary of the data set based on the retained data points.
    Type: Grant
    Filed: April 11, 2002
    Date of Patent: July 11, 2006
    Assignee: The Penn State Research Foundation
    Inventors: John C. Liechty, James P. McDermott, Dennis K.J. Lin
  • Single-pass low-storage arbitrary probabilistic location estimation for massive data sets
    Publication number: 20030078924
    Abstract: The present invention includes a method and system for providing an estimate of a summary of a data set generated by an unknown distribution. The method includes selecting a subset of data points from the data set, applying a scoring rule to each data point of the subset of data points based on an estimated relative location and an assigned weight for each data point to provide a score for each data point, selectively retaining data points to track based on the score for each data point; and determining an estimate of the summary of the data set based on the retained data points.
    Type: Application
    Filed: April 11, 2002
    Publication date: April 24, 2003
    Inventors: John C. Liechty, James P. McDermott, Dennis K.J. Lin