Search Results - (( java implication based algorithm ) OR ( data representations drops algorithm ))
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Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space
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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Mining sequence of event from vector-based spatiotemporal database
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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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Improving robotic grasping system using deep learning approach
Published 2020“…The achieved results introduced an innovative robotic grasping system with a Grasp-NoDrop-Place scheme.…”
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