Scientists suggested that climate change could make central Vietnam a global hot spot for destructive storms. This year has seemed to prove the point. Scientists suggested that climate change could ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

This repo contains a simple RHEL image mode example to make it easier to kick the tires. # Adjust to suite local environment, # note that the defaults will not work vi ri-env # Login to used ...

I've been doing experiments with the C# image classification examples, and I've been struggling trying to modify the sample to save an ONNX file without success, since it gives me the usual "The ...

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

A new AI model, H-CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a classification tree—such as bird, eagle, bald eagle—rather than ...

Abstract: Support Vector Machine (SVM), a robust machine learning algorithm, exhibits exceptional efficacy in addressing image multi-classification challenges. This paper aims to discuss the image ...

Abstract: A common assumption in hyperspectral image classification is that the distribution of the classes is stable for all the areas of hyperspectral image. However, this assumption is often ...