We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
Single-assignment languages with copy semantics have a very simple and approachable programming model. A na¨ıve implementation of the copy semantics that copies the result of eve...
Abstract— Fueled by the competing DSL and Cable technologies, residential broadband access has seen a significant spread in availability to the point that many users have a choi...
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...