R programming language provides a rich collection of packages for building and analyzing finite mixture models which are widely used in unsupervised learning such as model-based clustering and density ...

Abstract: Multi-modal data presents a promising opportunity for improving multimedia recommendation models, but it also introduces task-irrelevant noise that can reduce model robustness. In this paper ...

Abstract: The processing of speech corrupted by interfering overlapping speakers is one of the challenging problems with regards to today's automatic speech recognition systems. Recently, approaches ...