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Learning to Group and Label Fine-Grained Shape Components 会议论文
ACM TRANSACTIONS ON GRAPHICS, 2018-11-01
作者:  Wang, Xiaogang;  Zhou, Bin;  Fang, Haiyue;  Chen, Xiaowu;  Zhao, Qinping
收藏  |  浏览/下载：10/0  |  提交时间：2019/12/30
A novel track initiation method for track splitting and merging 会议论文
OCEANS 2016 - Shanghai, Shanghai, China, April 10-13, 2016
作者:  Li DD(李冬冬);  Zhang Y(张瑶);  Lin Y(林扬);  Liu J(刘健)
收藏  |  浏览/下载：22/0  |  提交时间：2016/08/10
Normal probability plots with confidence 会议论文
作者:  Chantarangsi, Wanpen;  Liu, Wei;  Bretz, Frank;  Kiatsupaibul, Seksan;  Hayter, Anthony J.
收藏  |  浏览/下载：3/0  |  提交时间：2019/08/22
Wavelet thresholding method based on hypotheses testing and noise estimation for multipath mitigation in GPS receivers 会议论文
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENT COMMUNICATION, 2015-01-01
作者:  Maralani, Vahid Adipour;  Huangfu, Chenxi;  Zhao, Yun
收藏  |  浏览/下载：7/0  |  提交时间：2020/01/06
A win-win multi-issue service negotiation model based on Bayesian learning 会议论文
International Conference on Cloud Computing and Big Data (CLOUDCOM-ASIA), DEC 16-18, 2013
作者:  Li, Min;  Pan, Li;  Liu, Shijun;  Wu, Lei
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31
The Identification of Web Forum Speech Leaders Based on Statistical Analysis and Text Classification 会议论文
International Conference on Management Science and Engineering, OCT 17-18, 2010
作者:  Duan, Zhenchen;  Liu, Mengyi;  Fan, Rongchao;  Yuan, Meng
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31
Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China
Meng B.; Zhu M.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently  Particle filter  is widely used because its multiple hypotheses and versatility within framework. However  the good choice of the propagation function is still its main problem. In this paper  an improved particle filter  EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results  we show how our EM-PF can be applied to produces more robust and accurate extracting.  
Programmer's expertise during test-driven software development 会议论文
Lake Tahoe, CA, United states, August 6, 2007 - August 8, 2007
作者:  Xu, Shaochun;  Cui, Zendi;  D., Liu;  X., Chen
收藏  |  浏览/下载：13/0  |  提交时间：2020/11/15
Evaluation of the Putative Ratio Rules for Facial Beauty Indexing (CPCI-S收录) 会议论文
2014 INTERNATIONAL CONFERENCE ON MEDICAL BIOMETRICS (ICMB 2014)
作者:  Chen, Fangmei[1,2];  Zhang, David[3]
收藏  |  浏览/下载：0/0  |  提交时间：2019/04/12

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