Vortrag, Bob L. Sturm, Ph.D.: Sparse approximation in signal processing and machine learning

Wien (OTS) - 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.

"Sparse approximation in signal processing and machine learning"
Bob L. Sturm, Ph.D., Aalborg University Copenhagen


Datum: 14.2.2013, um 18:30 Uhr

Ort:
Österreichisches Forschungsinstitut für Artificial
Intelligence (OFAI)
Freyung 6/6/7, 1010 Wien

Url: www.ofai.at

Rückfragen & Kontakt:

Österreichisches Forschungsinstitut für Artificial Intelligence (OFAI)
Freyung 6/6/7, 1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, sec@ofai.at
Bob L. Sturm, Ph.D., http://media.aau.dk/null_space_pursuits/

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