Abstract: This paper rethinks image histogram matching (HM) and proposes a differentiable and parametric HM preprocessing for a downstream classifier. Convolutional neural networks have demonstrated ...
Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
The primary goal of this project is to analyze health, lifestyle, demographic, medical, and cognitive factors to understand their association with Alzheimer's Disease and to build predictive machine ...
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