IEEE

Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes

Abstract: This article presents a novel hyperspectral image (HSI) classification approach that integrates the sparse inducing variational Gaussian process (SIVGP) with a spatially adaptive Markov ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification

DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
IEEE

Low-shot Image Classification Using Mixture of Experts

Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...
The New York Times

Students Are Skipping the Hardest Part of Growing Up

Mr. Shirky, a vice provost at New York University, has been helping faculty members and students adapt to digital tools since 2015. Back in 2023, when ChatGPT was still new, a professor friend had a ...