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• W2792696870 abstract "Dynamic mode decomposition (DMD) is a method to extract coherent modes from nonlinear dynamical systems. In this paper, we propose an extension of DMD, sparse nonnegative DMD, which generates a nonlinear and sparse modal representation of dynamics. In particular, this makes DMD more suitable for video processing. We reformulate DMD as a block-multiconvex optimization problem to impose constraints and regularizations directly on the structures of the estimated dynamic modes. We introduce the results of experiments with synthetic data and a surveillance video dataset and show that sparse nonnegative DMD can extract part-based dynamic modes from video streams." @default.
• W2792696870 created "2018-03-29" @default.
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• W2792696870 date "2017-09-01" @default.
• W2792696870 modified "2023-10-18" @default.
• W2792696870 title "Sparse nonnegative dynamic mode decomposition" @default.
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• W2792696870 doi "https://doi.org/10.1109/icip.2017.8296769" @default.
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