Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Creating a portrait in the style of a particular artistic tradition or a particular artist is a difficult problem. Elusive to codify algorithmically, the nebulous qualities which...
Hong Chen, Ziqiang Liu, Chuck Rose, Yingqing Xu, H...
Faults attacks are a powerful tool to break some implementations of robust cryptographic algorithms such as AES [8] and DES [3]. Various methods of faults attack on cryptographic ...
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...