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1. Fractal Research on the Edge Blur Threshold Recognition in Big Data Classification SCOPUS EI SCIE 期刊论文 会议论文 认领

作者:Wang, J;Liu, S;Song, HB

作者全称:Wang, Jia;Liu, Shuai;Song, Houbing

作者机构:[Wang, Jia] Dalian Polytech Univ, Expt Instrument Ctr, Dalian 116034, Peoples R China.;[Liu, Shuai] Inner Mongolia Univ, Coll Comp Sci, Hohhot 010012, 更多

第一作者:Wang J.

通讯作者:Liu, Shuai(cs_liushuai@imu.edu.cn)

通讯作者地址:Liu, S (reprint author), Inner Mongolia Univ, Coll Comp Sci, Hohhot 010012, Peoples R China.; Liu, S (reprint author), Inner Mongolia Key Lab Social Comp & Data Proc, Hohhot 010012, Peoples R China.

来源:MOBILE NETWORKS & APPLICATIONS,2018,Vol.23,Issue.2

基金:National Natural Science Foundation of China [61502254]

JCR分区:COMPUTER SCIENCE, HARDWARE & ARCHITECTURE为Q1;COMPUTER SCIENCE, INFORMATION SYSTEMS为Q2;TELECOMMUNICATIONS为Q2

中科院分区:大类工程技术3区;小类计算机:硬件3区;小类计算机:信息系统3区;小类电信学3区

(JCR)当年影响因子:2.497

(JCR)5年影响因子:2.695

ESI学科:COMPUTER SCIENCE

教育部学科:控制科学与工程,计算机科学与技术,军队指挥学,信息与通信工程,软件工程

关键词:Big data; Fractal; Edge blur threshold; Data storage; Boundary problem; Decision tree

摘要:Research of the edge blur threshold recognition technology in big multimedia data classification has a great significance, which improves the data sto 更多

2. Effects of Improper Ground Truth on Target Tracking Performance Evaluation in Benchmark EI SCOPUS CPCI-S 期刊论文 会议论文 认领

作者:Liu, GC;Liu, S;Lu, MY;Pan, Z

作者全称:Liu, Gaocheng;Liu, Shuai;Lu, Mengye;Pan, Zheng

作者机构:[Liu, Shuai] Inner Mongolia Univ, Coll Comp Sci, Hohhot 010012, Peoples R China.;Inner Mongolia Key Lab Data Min & Knowledge Engn, Hohhot 010012, Peop 更多

第一作者:Liu, Gaocheng

通讯作者:Liu, Shuai(cs_liushuai@imu.edu.cn)

通讯作者地址:Liu, S (reprint author), Inner Mongolia Univ, Coll Comp Sci, Hohhot 010012, Peoples R China.

来源:2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C),2017

基金:IEEE Reliability Society

关键词:target tracking; benchmark; bounding box; ground-truth; performance evaluation

摘要:Target tracking is an important part of many applications in computer vision. With continuous researching and developing, more and more advanced track 更多

更新时间:Mar 28, 2019
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