Showing 1 - 3 results of 3 for search '"spatial data"', query time: 0.05s Refine Results
  1. 1
    The RLR-tree: a reinforcement learning based R-tree for spatial data

    The RLR-tree: a reinforcement learning based R-tree for spatial data by Gu, Tu, Feng, Kaiyu, Cong, Gao, Long, Cheng, Wang, Zheng, Wang, Sheng

    Published 2023
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    Conference Paper
  2. 2
    Copula Gaussian multiscale graphical models with application to geophysical modeling

    Copula Gaussian multiscale graphical models with application to geophysical modeling by Yu, Hang, Dauwels, Justin, Zhang, Xu, Xu, Shiyan, Uy, Wayne Isaac T.

    Published 2014
    “…Gaussian Multiscale graphical models are powerful tools to describe high-dimensional spatial data; they capture longrange statistical dependencies among distant sites by introducing coarser scales. …”
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    Conference Paper
  3. 3
    Benchmarking of hierarchical bayesian model aggregation, xgboost and optimal band ratio analysis (OBRA) models for total suspended sediments retrieval from remote sensing

    Benchmarking of hierarchical bayesian model aggregation, xgboost and optimal band ratio analysis (OBRA) models for total suspended sediments retrieval from remote sensing by Pak, Hui Ying, Law, Adrian Wing-Keung, Lin, Weisi

    Published 2023
    “…With Unmanned Aerial Vehicles (UAVs) and hyperspectral sensors, however, fine spectral and spatial data can be obtained and there is a need for more advanced ML to be developed to capitalize on the richer information. …”
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    Conference Paper

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