This article provides useful insight into the problem of probability density function fusion by reviewing numerous approaches developed in different disciplines and providing a higher level perspective of the viewpoints and solutions.
This review article shows how sparsity-promoting methods such as basis pursuit, dictionary learning, as well as deep learning all fit within an analysis and synthesis framework.
The article summarizes the state of the art in personal voice assistant security and privacy and introduces a taxonomy to structure existing research efforts.