We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Don't prioritize your tasks by what will take the most time—try choosing what will have the biggest impact. That's what the Most Important Task (MIT) method involves: rather than thinking of specific ...

Abstract: It has long been recognized that the standard convolution is not rotation equivariant and thus not appropriate for downside fisheye images which are rotationally symmetric. This paper ...

Abstract: In recent years, deep learning methods, especially convolutional neural networks (CNNs), have been gradually applied to the field of hyperspectral image (HIS) classification. Because the ...