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), ...
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 ...
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