Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference

被引:1
|
作者
Chen, Xiwen [1 ]
Li, Huayu [2 ]
Amin, Rahul [3 ]
Razi, Abolfazl [1 ]
机构
[1] Clemson University, School of Computing, Clemson,SC,29634, United States
[2] The University of Arizona, Department of Electrical and Computer Engineering, Tucson,AZ,85721, United States
[3] MIT Lincoln Laboratory, Tactical Networks Group, Lexington,MA,02421, United States
关键词
Compendex;
D O I
10.1109/TMLCN.2024.3421907
中图分类号
学科分类号
摘要
Channel state information
引用
收藏
页码:1341 / 1356
相关论文
共 50 条
  • [21] Multi-source data integration for soil mapping using deep learning
    Wadoux, Alexandre M. J-C
    Padarian, Jose
    Minasny, Budiman
    SOIL, 2019, 5 (01) : 107 - 119
  • [22] Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
    Zhang, Guoxi
    Kashima, Hisashi
    THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 9, 2023, : 11201 - 11209
  • [23] Multi-source digital map tile data mashup scheme design based on Cesium
    Fan J.
    Hu T.
    He H.
    Qin L.
    Li G.
    Yaogan Xuebao/Journal of Remote Sensing, 2019, 23 (04): : 695 - 705
  • [24] Combining multi-source data to map vineyards in a specialized district of Basilicata (Southern Italy)
    Pace, Letizia
    Coluzzi, Rosa
    Imbrenda, Vito
    D'Emilio, Mariagrazia
    Falcone, Andrea
    Nuzzo, Vitale
    Lanfredi, Maria
    JOURNAL OF MAPS, 2024, 20 (01):
  • [25] Multi-source data integration and identification of uncertainties affecting production of a digital soil map
    Robinson, N. J.
    Benke, K.
    Hopley, J.
    MacEwan, R. J.
    Clark, R.
    Rees, D. B.
    Kitching, M.
    Imhof, M. P.
    Bardos, D.
    GLOBALSOILMAP: BASIS OF THE GLOBAL SPATIAL SOIL INFORMATION SYSTEM, 2014, : 353 - 358
  • [26] Multi-source Data Multi-task Learning for Profiling Players in Online Games
    Zhao, Shiwei
    Wu, Runze
    Tao, Jianrong
    Qu, Manhu
    Li, Hao
    Fan, Changjie
    2020 IEEE CONFERENCE ON GAMES (IEEE COG 2020), 2020, : 104 - 111
  • [27] Using deep learning and multi-source remote sensing images to map landlocked lakes in Antarctica
    Jiang, Anyao
    Meng, Xin
    Huang, Yan
    Shi, Guitao
    CRYOSPHERE, 2024, 18 (11): : 5347 - 5364
  • [28] A systematic analysis of learning analytics using multi-source data in the context of Spain
    Munoz-Merino, Pedro J.
    Moreno-Marcos, Pedro Manuel
    Rubio-Fernandez, Aaron
    Tsai, Yi-Shan
    Gasevic, Dragan
    Kloos, Carlos Delgado
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2023, 42 (05) : 643 - 657
  • [29] Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review
    Nilani Algiriyage
    Raj Prasanna
    Kristin Stock
    Emma E. H. Doyle
    David Johnston
    SN Computer Science, 2022, 3 (1)
  • [30] A Machine Learning Approach for Convective Initiation Detection Using Multi-source Data
    Liu, Xuan
    Chen, Haonan
    Han, Lei
    Ge, Yurong
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 6518 - 6521