Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
- This article introduces a novel protein structure alignment method (named TALI) based on protein backbone torsion angle instead of the more traditional distance matrix. Represent...
Information visualisation exploits the natural perceptual capabilities of the decisionfacilitate the rapid assimilation and analysis of abstract, complex and often voluminous info...
Tim Pattison, Rudi Vernik, Daniel Goodburn, Matthe...
Weathering phenomena represent a topic of growing interest in computer graphics, and corrosion reactions are of great importance since they affect a large number of different fiel...