The identity and impact of many substances on the global market are not fully known because they are complex mixtures or can lead to potentially harmful transformation products. Though it is an ...

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 author proposes a method for simultaneous registration and segmentation of multi-source images, using the multivariate mixture model (MvMM) and maximum of log-likelihood (LL) framework.