Abstract: The recursive least-squares (RLS) algorithm is very popular for adaptive filtering applications, mainly due to its fast convergence rate. The regularized version of this algorithm owns ...

xRFM is a scalable implementation of Recursive Feature Machines (RFMs) optimized for tabular data. This library provides both the core RFM algorithm and a tree-based extension (xRFM) that enables ...

Abstract: Nowadays, as the demand for accurate object detection (OD) applications is increasing, several attempts have been made to introduce convolutional neural network (CNN)-based super-resolution ...