IEEE

Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery

Abstract: Graph signal recovery (GSR) is a fundamental problem in graph signal processing, where the objective is to reconstruct a complete signal defined over a graph from a subset of noisy or ...
IEEE

Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial

Abstract: Deep neural networks (DNNs) and especially convolutional neural networks (CNNs) have revolutionized the way we approach the analysis of large quantities of data. However, the largely ad hoc ...