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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Source Parameters of the 2016-2017 Central Italy Earthquake Sequence from the Sentinel-1, ALOS-2 and GPS Data 期刊论文 REMOTE SENSING, 2017, 卷号: 9, 期号: 11 作者:  Xu, Guangyu;  Xu, Caijun;  Wen, Yangmao;  Jiang, Guoyan 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/05 SAR interferometry  Central Italy  Sentinel-1  normal fault  earthquake sequence   The critical case for a Berestycki-Lions theorem 期刊论文 2016, 2016 ZHANG Jian; ZOU WenMing; ZHANG Jian; ZOU WenMing 收藏  |  浏览/下载：1/0 Some distributional limit theorems for the maxima of Gaussian vector sequences 期刊论文 Computers & Mathematics with Applications, 2012, 卷号: Vol.64 No.8, 页码: 2497-2506 作者:  Fuming Lin;  Daimin Shi;  Yingying Jiang 收藏  |  浏览/下载：3/0  |  提交时间：2019/02/25 Weak convergence of extreme-order statistics  Almost sure convergence of extreme-order statistics  Normal sequence of random vectors   An improved algorithm to generate high quality progressive animation models (EI CONFERENCE) 会议论文 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010, April 23, 2010 - April 25, 2010, Wuhan, China Zhang S.; Zhao J.; Cao J. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 In computer graphics  investigation has been made in many years in progressive models generation to alleviate the workload of visualization processing. However  most of the existing algorithms only focus on static meshes  and very little works are to deal with animation models. In this paper  we propose an improved method for generating progressive multiresolution animation models. By the method we first use a normal deviation parameter to improve the famous QEM method as our basic edge contraction metric to generate a base hierarchy. The sequence of the simplified models is generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame  the contraction order in the current frame is adjusted according to the deformation degree. We demonstrate that our method works efficiently and can generate better approximations with well-preserved features than previous methods. 2010 IEEE.   Finite-state dimension 其他 2004-01-01 Dai, JJ; Lathrop, JI; Lutz, JH; Mayordomo, E 收藏  |  浏览/下载：3/0  |  提交时间：2015/11/12 bounded-depth circuit  finite-state compressor  finite-state dimension  finite-state gambler  gale  Hausdorff dimension  information-lossless compressor  martingale  normal sequence  KOLMOGOROV COMPLEXITY  INDIVIDUAL SEQUENCES  HAUSDORFF