Patents by Inventor Thomas Villmann

Thomas Villmann 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: 7991223
    Abstract: A Neural Gas network used for pattern recognition, sequence and image processing is extended to a supervised classifier with labeled prototypes by extending a cost function of the Neural Gas network with additive terms, each of which increases with a difference between elements of the class labels of a prototype and a training data point and decreases with their distance. The extended cost function is then iteratively minimized by adapting weight vectors of the prototypes. The trained network can then be used to classify mass spectrometric data, especially mass spectrometric data derived from biological samples.
    Type: Grant
    Filed: August 31, 2007
    Date of Patent: August 2, 2011
    Assignee: Bruker Daltonik GmbH
    Inventors: Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
  • Publication number: 20080095428
    Abstract: A Neural Gas network used for pattern recognition, sequence and image processing is extended to a supervised classifier with labeled prototypes by extending a cost function of the Neural Gas network with additive terms, each of which increases with a difference between elements of the class labels of a prototype and a training data point and decreases with their distance. The extended cost function is then iteratively minimized by adapting weight vectors of the prototypes. The trained network can then be used to classify mass spectrometric data, especially mass spectrometric data derived from biological samples.
    Type: Application
    Filed: August 31, 2007
    Publication date: April 24, 2008
    Applicant: BRUKER DALTONIK GMBH
    Inventors: Thomas Villmann, Frank-Michael Schleif, Barbara Hammer