Mathematics and computing is the study and analysis of abstract concepts, such as numbers and patterns. Mathematics is the language of choice for scientifically describing and modelling the universe ...

Leading the way with our groundbreaking research and innovative teaching spanning chemistry, physics and astronomy, and mathematics and statistics. Our students go on to make an impact across a huge ...

Abstract: Rehabilitation robots have proven their usefulness in assisting with physical therapy. This article presents a trajectory tracking controller for a wrist rehabilitation robot with three ...

Abstract: Outlier analysis is an important data mining task that aims to detect unexpected, rare, and suspicious objects. Outlier ranking enables enhanced outlier exploration, which assists the ...

A team of researchers affiliated with UNIST has made a significant breakthrough by mathematically proving that a special type of vortex pair, called the Sadovskii vortex patch, can exist within ideal ...

PyTorch implementation of Subspace Diffusion Generative Models by B Jing,* G Corso,* R Berlinghieri, T Jaakkola. We present a method for accelerating and improving score-based generative models.

Design has always had a close relationship with mathematics. From the golden ratio to the Fibonacci sequence, the principles of mathematics have underpinned some of the most iconic designs in history.

This repository contains training and testing code reported in the ICCV 2019 paper titled "GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection" by Jue Wang and Anoop Cherian and ...

Whatever program you choose — biological sciences, chemistry, computer science, earth sciences, engineering, mathematics and statistics, or physics — you’ll learn from professors known throughout the ...

The Department of Mathematics consists of the Mathematical Institute and the Freudenthal Institute. Mathematical research and academic education become one within the Mathematical Institute. The ...

In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces’, of natural images. Examples include principal component analysis (as used for ...