Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
The issue of breaking cycles in communication networks is an important topic for several reasons. For instance, it is required when transparent bridges are filling the forwarding ...
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
The availability of positional information is of great importance in many commercial, governmental, and military applications. Localization is commonly accomplished through the use...
To provide performant access to data from high energy physics experiments such as the Large Hadron Collider (LHC), controlled replication of files among grid sites is required. Dy...
Caitriana Nicholson, David G. Cameron, A. T. Doyle...