Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
Abstract: Accuracy can be improved by localization techniques aided by reconfigurable intelligent surfaces (RIS). The majority of studies, however, primarily use base stations (BS) to pick up signals.
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