Making metric learning algorithms invariant to transformations using a projection metric on Grassmann manifolds
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DOI: 10.1007/s13042-019-00927-4
Abstract: The requirement for suitable ways to measure the distance or similarity between data is omnipresent in machine learning, pattern recognition and data mining, but extracting such good metrics for particular problems is in general challenging.… read more here.
Keywords: projection metric; metric learning; grassmann manifolds; distance ... See more keywords