Patents by Inventor Michael I. Mandel

Michael I. Mandel 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: 7672916
    Abstract: Methods, systems, and media are provided for classifying digital music. In some embodiments, methods of classifying a song are provided that include: receiving a selection of at least one seed song; receiving a label selection for at least one unlabeled song; training a support vector machine based on the at least one seed song and the label selection; and classifying a song using the support vector machine. In some embodiments, systems for classifying a song are provided that include: memory for storing at least one seed song, at least one unlabeled song, and a song; and a processor that: receives a selection of the at least one seed song; receives a label selection for the at least one unlabeled song; trains a support vector machine based on the at least one seed song and the label selection; and classifies the song using the support vector machine.
    Type: Grant
    Filed: August 16, 2006
    Date of Patent: March 2, 2010
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Graham E. Poliner, Michael I. Mandel, Daniel P. W. Ellis
  • Publication number: 20080022844
    Abstract: Methods, systems, and media are provided for classifying digital music. In some embodiments, methods of classifying a song are provided that include: receiving a selection of at least one seed song; receiving a label selection for at least one unlabeled song; training a support vector machine based on the at least one seed song and the label selection; and classifying a song using the support vector machine. In some embodiments, systems for classifying a song are provided that include: memory for storing at least one seed song, at least one unlabeled song, and a song; and a processor that: receives a selection of the at least one seed song; receives a label selection for the at least one unlabeled song; trains a support vector machine based on the at least one seed song and the label selection; and classifies the song using the support vector machine.
    Type: Application
    Filed: August 16, 2006
    Publication date: January 31, 2008
    Inventors: Graham E. Poliner, Michael I. Mandel, Daniel P.W. Ellis