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Titlebook: Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series; A. Ramachandra Rao,En-Ching Hsu Book 2008 Springer Science

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The method is especially useful for localizing objects in images. Here, we extend the method to the task of joint localization of several objects in a 2D-image by means of combining several centroids. The novel approach, i.e. joint optimization of several centroids and a subsequent optimization of t
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https://doi.org/10.1007/978-1-4020-6454-8Environmental and Hydrologic Time Series; Fourier transform; Hilbert-Huang Transform; Nonstationary Pro
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Water Science and Technology Libraryhttp://image.papertrans.cn/h/image/427078.jpg
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978-90-481-7645-8Springer Science+Business Media B.V. 2008
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0921-092X uang transform (HHT) provide an adaptive and efficient method. The HHT is based on the local characteristic time scale of the data. The HHT method provides not only a precise definition in time-frequency representation than the other conventional signal processing methods, but also more physically m
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Book 2008form (HHT) provide an adaptive and efficient method. The HHT is based on the local characteristic time scale of the data. The HHT method provides not only a precise definition in time-frequency representation than the other conventional signal processing methods, but also more physically meaningful
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oral Association Rule Mining to detect rule dynamics, and consequently dynamics of tweets. We coined our methodology Transaction-based Rule Change Mining (TRCM). A number of patterns are identifiable in these rule dynamics including, new rules, emerging rules, unexpected rules and ‘dead’ rules. Also
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A. Ramachandra Rao,En-Ching Hsud to diversify existing data as to improve lacking datasets, and data privacy, as the generated data, while next to real, can be shared without the original, protected model. A case study was done in an industry-recognized benchmark model, and the results completely support the use of the proposed m
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