IEEE - Institute of Electrical and Electronics Engineers, Inc. - A Deep Matrix Factorization Method for Learning Attribute Representations

Author(s): George Trigeorgis ; Konstantinos Bousmalis ; Stefanos Zafeiriou ; Bjorn W. Schuller
Sponsor(s): IEEE Computer Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 March 2017
Volume: 39
Page(s): 417 - 429
ISSN (CD): 2160-9292
ISSN (Paper): 0162-8828
DOI: 10.1109/TPAMI.2016.2554555
Regular:

Semi-Non-negative Matrix Factorization is a technique that learns a low-dimensional representation of a dataset that lends itself to a clustering interpretation. It is possible that the mapping... View More

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