幼儿 发表于 2025-3-23 11:30:33
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 tBROOK 发表于 2025-3-23 15:16:41
https://doi.org/10.1007/978-1-4020-6454-8Environmental and Hydrologic Time Series; Fourier transform; Hilbert-Huang Transform; Nonstationary ProOsteons 发表于 2025-3-23 21:53:09
Water Science and Technology Libraryhttp://image.papertrans.cn/h/image/427078.jpgdowagers-hump 发表于 2025-3-24 01:25:20
978-90-481-7645-8Springer Science+Business Media B.V. 2008liaison 发表于 2025-3-24 03:22:29
http://reply.papertrans.cn/43/4271/427078/427078_15.png思考 发表于 2025-3-24 09:23:59
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巩固 发表于 2025-3-24 10:46:46
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危机 发表于 2025-3-24 15:32:54
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. Alsoexorbitant 发表于 2025-3-24 20:23:06
http://reply.papertrans.cn/43/4271/427078/427078_19.pnghermetic 发表于 2025-3-25 00:33:16
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