找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Machine Learning and Data Mining in Pattern Recognition; 14th International C Petra Perner Conference proceedings 2018 Springer Internation

[复制链接]
楼主: 热情美女
发表于 2025-3-28 18:12:30 | 显示全部楼层
发表于 2025-3-28 20:05:41 | 显示全部楼层
Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis,as AVICON-14, which produce the results of ultrasound testing in the form of B-scan signals. We propose an approach simple enough to do fast automatic localization of B-scan signal segments, which could contain rail flaws. In order to recognize the selected segments as flaws of some kind or not flaw
发表于 2025-3-29 01:42:23 | 显示全部楼层
发表于 2025-3-29 03:03:25 | 显示全部楼层
发表于 2025-3-29 09:22:22 | 显示全部楼层
,A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis,r, which integrates the RGB values, the horizontal and vertical Haar wavelet features, and the temporal difference features of a pixel, enhances the discriminatory power due to its increased dimensionality. Second, the local background modeling process chooses the most significant single Gaussian de
发表于 2025-3-29 12:36:36 | 显示全部楼层
发表于 2025-3-29 16:22:52 | 显示全部楼层
发表于 2025-3-29 22:15:56 | 显示全部楼层
发表于 2025-3-30 02:02:49 | 显示全部楼层
Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deepigators, and the use of biased study designs. To ensure the impartiality and objectivity in research, many journal publishers require authors to provide a COI statement within the body text of their articles at the time of peer-review and publication. However, author’s self-reported COI disclosure o
发表于 2025-3-30 05:59:00 | 显示全部楼层
Hierarchical Bayesian Classifier Combination,utputs of several and possibly heterogeneous classifiers with the aim of gaining in the final accuracy. Our work is based on the Dawid and Skene’s work [.] for modelling disagreement among human assessors. We also take advantage of the Bayesian Model Averaging (BMA) framework without requiring the e
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-21 21:11
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表