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Abstract
We want to use a variety of sparseness measured applied to ‘the minimal L1 norm representation' of a music signal in an overcomplete dictionary as features for automatic classification of music. Unfortunately, the process of computing the optimal L1 norm representation is rather slow, and we therefore investigate the use of matching pursuit, alternating projection, and Moore-Penrose inverse for estimating the result of applying two different sparseness measures to ‘the minimal L1 norm representation' without actually computing this representation.
Original language | English |
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Title of host publication | Proceedings of SPRRA 2006 |
Number of pages | 4 |
Publisher | ACTA Press |
Publication date | 2006 |
ISBN (Print) | 0889865809 |
ISBN (Electronic) | 0889865825 |
Publication status | Published - 2006 |
Event | The Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications - Innsbruck, Austria Duration: 15 Feb 2006 → 17 Feb 2006 |
Conference
Conference | The Third IASTED International Conference on Signal Processing, Pattern Recognition, and Applications |
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Country/Territory | Austria |
City | Innsbruck |
Period | 15/02/2006 → 17/02/2006 |
Keywords
- Sparse representation
- sparse decomposition
- music
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Dive into the research topics of 'Fast Estimation of Optimal Sparseness of Music Signals'. Together they form a unique fingerprint.Projects
- 1 Finished
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WAVES: Wavelets in Audio/Visual Electronic Systems
Stoustrup, J., la Cour-Harbo, A., Andersen, P., Pedersen, T. S., Odgaard, P. F., Vidal Sanchez, E., Bendtsen, J. D., Christensen, H. V., Endelt, L. Ø., Borup, L., Nielsen, M., Hansen, P. C., Christensen, O., Søndergaard, P. L., Skjølstrup, C. E., Verbraak, B., Fløe Mikkelsen, H., Nissen, P. A., Madsen, O. & Thorsen, P.
Danish Technical Research Foundation
30/06/2007 → 01/09/2009
Project: Research