Opinion

We don’t have to have unsupervised killer robots

AI companies could stand together to draw red lines on military AI — why aren’t they?
Tech Xplore

Novel framework for unsupervised point cloud anomaly localization developed

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
EurekAlert!

Unsupervised cross-domain adaptation: single-pixel image transmission in unknown dynamic channels

Imaging technologies are ubiquitous in our daily lives, from smartphone cameras to medical imaging devices, helping us capture images and perceive objects. However, when faced with complex ...
IEEE

Multidomain Adaptive Unsupervised Learning for Cross-Scene Hyperspectral Image Classification Based on a Generative Network

Abstract: Cross-scene hyperspectral image classification has achieved favorable outcomes in the domain adaptation of deep learning. However, transferring the sample features learned from the source ...
IEEE

Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Image Classification

Abstract: Subspace clustering (SSC) contributes a lot to the development of unsupervised hyperspectral image (HSI) classification task due to its ability of processing high-dimensional data. In ...
Scientific Research Publishing

Richards, J.A. (2022) Clustering and Unsupervised Classification. In: Richards, J.A., Ed., Remote Sensing Digital Image Analysis, Springer International Publishing, 369-401.

ABSTRACT: In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The ...
Scientific Research Publishing

Unsupervised Classification of Sea Surface Temperature (SST) in the Tropical Atlantic Using Spatial and Functional Data Analysis ()

In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The methodology we ...
C&EN

Unsupervised Machine Learning-Based Image Recognition of Raw Infrared Spectra: Toward Chemist-like Chemical Structural Classification and Beyond Numerical Data

Faculty of Advanced Engineering, Tokyo University of Science, Tokyo 125-8585, Japan ...