TY - JOUR
T1 - Analyzing human behavior in subspace
T2 - 2018 Working Notes Proceedings of the MediaEval Workshop, MediaEval 2018
AU - LIU, Yang
AU - Gu, Zhonglei
AU - Ko, Tobey H.
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61503317, in part by the General Research Fund (GRF) from the Research Grant Council (RGC) of Hong Kong SAR under Project HKBU12202417, and in part by the SZSTI Grant with the Projct Code JCYJ20170307161544087.
PY - 2018
Y1 - 2018
N2 - Automated detection of human behavior in a social setting has drawn considerable interests in recent years. In this working notes paper, we describe our system developed for human behavior analysis. The system is composed of two components: 1) a dimensionality reduction module that maps the original data to a subspace; and 2) a classifier module that classifies the test data based on the labels of training data in the learned subspace. The developed system is evaluated on the MediaEval 2018 Human Behavior Analysis Task. Copyright held by the owner/author(s).
AB - Automated detection of human behavior in a social setting has drawn considerable interests in recent years. In this working notes paper, we describe our system developed for human behavior analysis. The system is composed of two components: 1) a dimensionality reduction module that maps the original data to a subspace; and 2) a classifier module that classifies the test data based on the labels of training data in the learned subspace. The developed system is evaluated on the MediaEval 2018 Human Behavior Analysis Task. Copyright held by the owner/author(s).
UR - http://www.scopus.com/inward/record.url?scp=85059865962&partnerID=8YFLogxK
UR - http://ceur-ws.org/Vol-2283/
M3 - Conference article
AN - SCOPUS:85059865962
VL - 2283
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
Y2 - 29 October 2018 through 31 October 2018
ER -