STAG is a C++ library providing efficient spectral algorithms for the analysis of massive graphs. There is also an accompanying STAG Python library. The library provides a simple and convenient ...

An IT professional with a keen interest in delving into the realm of Machine Learning. In this article, we will explore the concept of clustering in machine learning, delving into the different types ...

Mathematicians recently gathered for a workshop in Canada a to thrash out ideas inspired by a breakthrough a pair of researchers made in 2023 on a conjecture by Paul Erdős. The pair’s success at ...

This research paper was presented at the 64 th IEEE Symposium on Foundations of Computer Science (FOCS) 2023 (opens in new tab), a premier forum for the latest research in theoretical computer science ...

NeighborNet constructs phylogenetic networks to visualize distance data. It is a popular method used in a wide range of applications. While several studies have investigated its mathematical features, ...

SE-Sync is a certifiably correct algorithm for performing synchronization over the special Euclidean group: estimate the values of a set of unknown poses (positions and orientations in Euclidean space ...

Abstract: The graph-based hyperspectral image classification (HSIC) method has attracted wide attention because it can extract information with a non-Euclidean structure. Many graph-based HSIC works ...

Abstract: In multi-label recognition tasks, convolutional neural networks (CNNs) can extract rich features of images in Euclidean space. However, CNNs struggle to handle dependencies between ...