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Distance metric learning and classifier design are two highly challenging tasks in the machine learning community. In this paper we propose a new large margin nearest local mean (LMNLM) scheme to consider them jointly, which aims at improving the separability between local parts of different classes. We adopt ‘local mean vector’ as the basic classification model, and then through linear transformation,...
The joint angle–frequency estimation (JAFE) based on the multidimensional ESPRIT is recently developed high-resolution parameter estimation technique for determining the directions of arrival (DOAs) and center frequencies of a number of narrow-band sources in a band of interest impinging on the far field of a planar array. In this paper, we present a simple and efficient joint angle–frequency estimation...
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