Correlating shape and functional properties using decomposition approaches

Dornbusch D, Haschke R, Menzel S, Wersing H (2010)
In: Proc. FLAIRS-23. AAAI: 398-403.

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Abstract
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correlate the local shape of turbine blades with their associated aerodynamic flow fields. We compare several decomposition algorithms, i.e., k-Means, Principal Component Analysis, Non-negative Matrix Factorization and Uni-orthogonal Non-negative Matrix Factorization, with regards to their efficiency at finding local, relevant correlations and their ability to predict one modality from another.
Publishing Year
Conference
FLAIRS-23
Location
Daytona Beach, Florida, USA
Conference Date
2010-05-19/2010-05-21
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Dornbusch D, Haschke R, Menzel S, Wersing H. Correlating shape and functional properties using decomposition approaches. In: Proc. FLAIRS-23. AAAI; 2010: 398-403.
Dornbusch, D., Haschke, R., Menzel, S., & Wersing, H. (2010). Correlating shape and functional properties using decomposition approaches. Proc. FLAIRS-23, 398-403.
Dornbusch, D., Haschke, R., Menzel, S., and Wersing, H. (2010). “Correlating shape and functional properties using decomposition approaches” in Proc. FLAIRS-23 (AAAI), 398-403.
Dornbusch, D., et al., 2010. Correlating shape and functional properties using decomposition approaches. In Proc. FLAIRS-23. AAAI, pp. 398-403.
D. Dornbusch, et al., “Correlating shape and functional properties using decomposition approaches”, Proc. FLAIRS-23, AAAI, 2010, pp.398-403.
Dornbusch, D., Haschke, R., Menzel, S., Wersing, H.: Correlating shape and functional properties using decomposition approaches. Proc. FLAIRS-23. p. 398-403. AAAI (2010).
Dornbusch, Daniel, Haschke, Robert, Menzel, Stefan, and Wersing, Heiko. “Correlating shape and functional properties using decomposition approaches”. Proc. FLAIRS-23. AAAI, 2010. 398-403.
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