V O R T R A G
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6, A-1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, Email: sec@ofai.at
Bob L. Sturm, Ph.D.
Associate Professor
Audio Analysis Lab, AD:MT
Aalborg University Copenhagen
http://media.aau.dk/null_space_pursuits/
"SPARSE APPROXIMATION IN SIGNAL PROCESSING AND MACHINE LEARNING"
I provide a broad overview of sparse approximation, and a variety of
its applications to signal processing and machine learning with a focus
on sound and music. In one sense, sparse approximation allows a
flexibility in the decomposition of signals. One can define a
dictionary of several types of functions with which to linearly express
any signal. This has application in, for example, compression,
visualization, and source separation. In another sense, sparse
approximation allows a flexibility in the description of signals. This
technique has applications in, for example, music transcription, source
identification, and music genre recognition. Finally, I end with a
public service announcement of reproducible research.
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Time: Thursday, 14th February 2013, 6.30 p.m. sharp
Location: Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien
OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE
Univ.-Prof. Ing. Dr. Robert Trappl, MBA
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