ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1

被引:0
|
作者
Wang, Senzhang [1 ]
Zhang, Junbo [2 ]
Fu, Yanjie [3 ]
Li, Yong [4 ]
机构
[1] Cent South Univ, Changsha, Peoples R China
[2] JD Tech, JD iCity, JD Intelligent Cities Res, Beijing, Peoples R China
[3] Univ Cent Florida, Orlando, FL 32816 USA
[4] Tsinghua Univ, Beijing, Peoples R China
关键词
D O I
10.1145/3495188
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Learning Deep Spatio-Temporal Dependence for Semantic Video Segmentation
    Qiu, Zhaofan
    Yao, Ting
    Mei, Tao
    IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 20 (04) : 939 - 949
  • [42] Similar Trajectory Search with Spatio-Temporal Deep Representation Learning
    Tedjopurnomo, David Alexander
    Li, Xiucheng
    Bao, Zhifeng
    Cong, Gao
    Choudhury, Farhana
    Qin, A. K.
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2021, 12 (06)
  • [43] Structural-RNN: Deep Learning on Spatio-Temporal Graphs
    Jain, Ashesh
    Zamir, Amir R.
    Savarese, Silvio
    Saxena, Ashutosh
    2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 5308 - 5317
  • [44] Deep Spatio-temporal Learning Model for Air Quality Forecasting
    Zhang, L.
    Li, D.
    Guo, Q.
    Pan, J.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2021, 16 (02) : 1 - 14
  • [45] PhoenixMap: Spatio-Temporal Distribution Analysis with Deep Learning Classifications
    Zhao, Junhan
    Liu, Xiang
    Guan, Ryan
    Zhang, Josephine
    Yang, Baijian
    Qian, Zhenyu
    Chen, Yingjie
    2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), 2018, : 114 - 115
  • [46] A deep learning method for data recovery in sensor networks using effective spatio-temporal correlation data
    Du, Jinghan
    Chen, Haiyan
    Zhang, Weining
    SENSOR REVIEW, 2019, 39 (02) : 208 - 217
  • [47] Spatio-Temporal Clustering of Traffic Data with Deep Embedded Clustering
    Asadi, Reza
    Regan, Amelia
    PREDICTGIS 2019: PROCEEDINGS OF THE 3RD ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON PREDICTION OF HUMAN MOBILITY (PREDICTGIS 2019), 2019, : 45 - 52
  • [48] Special issue: Spatio-temporal analysis and multipoint measurements in space (STAMMS) - Preface
    Krasnoselskikh, V
    de Wit, TD
    ANNALES GEOPHYSICAE, 2004, 22 (07) : 2289 - 2289
  • [49] Learning a spatio-temporal correlation
    Narain, D.
    Mamassian, P.
    van Beers, R. J.
    Smeets, J. B. J.
    Brenner, E.
    PERCEPTION, 2012, 41 : 58 - 58
  • [50] Spatio-Temporal Split Learning
    Kim, Joongheon
    Park, Seunghoon
    Jung, Soyi
    Yoo, Seehwan
    51ST ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS - SUPPLEMENTAL VOL (DSN 2021), 2021, : 11 - 12