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.
Este proyecto implementa un sistema distribuido para calcular la factorización QR de matrices, compuesto por: ...
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