Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...

Abstract: Tensor-based multi-view clustering, which incorporates high-order correlations among views, has emerged as a promising research direction. These methods aim to capture intrinsic structure ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

With a formidable list of accomplishments including Olympian, parliamentarian and King’s Counsel, Menzies Campbell was also a man of enormous loyalty and kindness Ming (or Walter Menzies Campbell as ...