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- W830271857 abstract "We explore the use of hyperdimensional manifolds on Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) imagery. Data that occupies within a hyperdimensional space can be exploited using measures constrained along the inherent structure (manifold). When compared to multiple manifolds representing different classes. associations can be made by utilizing these constrained measures and data clusters to assign the closest class. We also explore the use of sparsely estimated manifolds (limited training data) and its impact on ATR results on SAR imagery." @default.
- W830271857 created "2016-06-24" @default.
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- W830271857 date "2015-05-22" @default.
- W830271857 modified "2023-09-23" @default.
- W830271857 title "Aided target recognition using hyperdimensional manifolds" @default.
- W830271857 cites W2155161883 @default.
- W830271857 doi "https://doi.org/10.1117/12.2180942" @default.
- W830271857 hasPublicationYear "2015" @default.
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