Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sungyong Chun"'
Autor:
SungYong Chun, Chan‐Su Lee
Publikováno v:
IET Computer Vision, Vol 10, Iss 4, Pp 250-257 (2016)
This study presents a human action recognition system from multi‐view image sequences. The authors’ approach to human action recognition is based on an estimation of local motion from multiple camera views. The authors propose a new motion descri
Externí odkaz:
https://doaj.org/article/9f6f44fd2c424c3396f560c8f713cb43
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 12, Pp 2641-2659 (2024)
Abstract Commercial automated vehicles equipped with adaptive cruise control (ACC) systems offer multiple gap settings that determine their longitudinal behaviour. This study introduces two novel strategies—inflow control and combined control—tha
Externí odkaz:
https://doaj.org/article/9e68559bd2d74fab9231134e808bef7e
Publikováno v:
International Journal of Consumer Studies.
Autor:
Sungyong Chun, Devon S. Johnson
Publikováno v:
International Journal of Bank Marketing. 39:886-899
PurposeConsumers who experience social exclusion often prefer high-risk financial products over low-risk financial products. The aim of this study is to examine how this effect can be attenuated by applying the theories of mental budgeting and pain o
Autor:
SungYong Chun
Publikováno v:
Center for Japanese Studies Chung-ang University. 52:71-85
Autor:
Eunseong Choa, Sungyong Chun
Publikováno v:
Survey Research. 19:73-104
The names of commonly used reliability coefficients, such as Cronbach’s alpha, give the impression that we are expressing respect for the first developers of the formulas. However, few studies have investigated the identity of each person who first
Publikováno v:
Journal of Digital Convergence; 2021, Vol. 19 Issue 8, p101-111, 11p
Publikováno v:
The Journal of the Korea Contents Association. 11:67-74
Collaborative recommendation is one of the most widely used methods of automated product recommendation in e-Commerce. For analyzing the customer`s preference, traditional explicit ratings are less desirable than implicit ratings because it may impos