Search Results - (( java implication based algorithm ) OR ( data representations drops algorithm ))

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  1. 1

    Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space by Muhammad, Aminu

    Published 2021
    “…Subspace learning is an essential approach for learning a low dimensional representation of a high dimensional space. When data samples are represented as points in a high dimensional space, learning with the high dimensionality becomes challenging as the effectiveness and efficiency of the learning algorithms drops significantly as the dimensionality increases. …”
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    Thesis
  2. 2

    Mining sequence of event from vector-based spatiotemporal database by B.Y., Widodo

    Published 2007
    “…Most GIS (Geographic Information System) however, requires, process, and stores spatial data in vector representation. We propose Neighborhood graph as 'drop-in' replacement for relationship operator in FlowMiner. …”
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    Improving robotic grasping system using deep learning approach by Mohannad K. H., Farag

    Published 2020
    “…The achieved results introduced an innovative robotic grasping system with a Grasp-NoDrop-Place scheme.…”
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    Thesis