Abstract: Convolutional neural networks (CNNs) for hyperspectral image (HSI) classification have generated good progress. Meanwhile, graph convolutional networks (GCNs) have also attracted ...
Pejac's graphite drawings on graph paper challenge our sense of space and the possibilities of the "blank slate." ...
Abstract: With the development of hyperspectral sensors, accessible hyperspectral images (HSIs) are increasing, and pixel-oriented classification has attracted much attention. Recently, graph ...
A characteristic line, which is used in regression analysis, represents a security's systematic risk and return. Learn how it functions in financial assessments.
Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...
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