3 papers
eess.SP2025
Approaching Domain Generalization with Embeddings for Robust Discrimination and Recognition of RF Communication Signals
Lukas Henneke, Frank Kurth
Radio frequency (RF) signal recognition plays a critical role in modern wireless communication and security applications. Deep learning-based approaches have achieved strong perfor…
cs.LG2024
Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs
Paul M. Baggenstoss, Kevin Wilkinghoff, Felix Govaers +1
The projected belief network (PBN) is a generative stochastic network with tractable likelihood function based on a feed-forward neural network (FFNN). The generative function oper…
cs.LG2022
Using the Projected Belief Network at High Dimensions
Paul M Baggenstoss
The projected belief network (PBN) is a layered generative network (LGN) with tractable likelihood function, and is based on a feed-forward neural network (FFNN). There are two ver…