If the training data set in image recognition task is not very large, the feature extraction with a convolutional neural network is usually applied. Here, we focus on the nonparametric classification ...

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Learn how to run a Python script using Docker with a real example. Package your code and dependencies for any system, step by step.

Graph-based semisupervised hyperspectral image (HSI) classification methods have obtained extensive attention. In graph-based methods, a graph is first constructed, and then the label propagation is ...

But, as positive as the big picture may be, there are also reasons to be worried. To liven things up, we have used lots of graphs and an interactive table in the 10 sections of this special briefing.

The Portland Metro Chamber delivered a sobering report about the city’s economy Thursday morning, delving into data on migration, job growth, as well as the positioning of Portland among its ...

Bancography, a financial services consulting firm, today announced new features and updated models to Bancography Plan, a market analysis and branch planning ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...