- Read more about Characterization and Classification of Sonar Targets Using Ellipsoid Features
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We present a geometry-inspired characterization of
target response for active sonar that exploits similarity between
intra-class features to distinguish between different targets
against environmental objects such as a rock. Key innovation is to
represent feature manifolds as a set of ellipsoids, each of which
geometrically encompasses a unique physical characteristic of
the target’s response. We have demonstrated over experimental
field data that for a given target class, these feature ellipsoids
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- Read more about Deep Learning in Exploring Semantic Relatedness for Microblog Dimensionality Reduction_PPT
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- Read more about Deep Learning in Exploring Semantic Relatedness for Microblog Dimensionality Reduction
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