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We demonstrate the effectiveness of our acting design for the one another one to-dimensional and you may multiple-dimensional datasets. We view a course of embeddings considering prepared haphazard matrices that have orthogonal rows and that is applied in several machine understanding programs as well as dimensionality prevention and kernel approximation. For both the Johnson-Lindenstrauss changes plus the angular kernel, i demonstrate that we could come across matrices producing protected increased overall performance inside the accuracy and you may/otherwise rate compared to before procedures.

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