Recent Patents in Signal Processing (March 2014) - Clustering and Matrix Factorization

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Recent Patents in Signal Processing (March 2014) - Clustering and Matrix Factorization

For our March 2014 issue, we cover recent patents involving new applications of clustering and matrix factorization, particularly non-negative matrix factorization (NMF). This has become a very popular topic for exploration in academia and industry in recent years. Below, we consider several new  inventions in which NMF has been applied to summarization, collaborative filtering, classification, and anomaly detection.

Number: 8,661,042
Title: Collaborative filtering with hashing
Inventors: M. Scholz, S. Rajaram and R. Lukose
Issued: February 25, 2014
Assignee: Hewlett-Packard Development Company, L.P. (Houston, TX).

Number: 8,612,169
Title: Method and system for detecting anomalies in a bipartite graph
Inventors: C. -Y. Lin, H. Tong
Issued:  December 17, 2013
Assignee: International Business Machines Corporation (Armonk, NY)

Number: 8,577,884
Title: Automated analysis and summarization of comments in survey response data
Inventors: S. Poteet, A. Kao, S. Luh
Issued:  November 5, 2013
Assignee: The Boeing Company (Chicago, IL)

Number: 8,566,360
Title: System and method for automatically generating systematic reviews of a scientific field
Inventors: C. Chen
Issued:  Drexel University (Philadelphia, PA)
Assignee: October 22, 2013

Number: 8,515,879
Title: Supervised nonnegative matrix factorization
Inventors: S. -I. Huh, M. Gupta, J. Xiao
Issued:  August 20, 2013
Assignee: Seiko Epson Corporation (Tokyo, JP)

Number: 8,510,257
Title: Collapsed gibbs sampler for sparse topic models and discrete matrix factorization
Inventors: C. Archambeau, G. Bouchard
Issued:  August 13, 2013
Assignee: Xerox Corporation (Norwalk, CT)

Number: 8,499,022
Title: Combining multiple clusterings by soft correspondence
Inventors: B. Lo and Z. Zhang
Issued:  July 30, 2013
Assignee: The Research Foundation of State University of New York (Binghamton, NY)

Number: 8,452,770
Title: Constrained nonnegative tensor factorization for clustering
Inventors: W. Peng
Issued:  May 28, 2013
Assignee: Xerox Corporation (Norwalk, CT)

Number: 8,412,757
Title: Non-negative matrix factorization as a feature selection tool for maximum margin classifiers
Inventors: M. Gupta and J. Xiao
Issued:  April 2, 2013
Assignee: Seiko Epson Corporation (Tokyo, JP)

Number: 8,463,786
Title: Extracting topically related keywords from related documents
Inventors: U. Udupa and S. Vysyaraju
Issued:  June 11, 2013
Assignee: Microsoft Corporation (Redmond, WA)

If you have an interesting patent to share when we next feature patents related to matrix factorization and clustering, or if you are especially interested in a signal processing research field that you would want to be highlighted in this section, please send an email to Shantanu Rane (rane AT merl DOT com).


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