A geometric construction is presented which is shown to be an effective tool for understanding and implementing multi-category support vector classification. It is demonstrated ho...
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
An optimization algorithm for the design of combinational circuits that are robust to single-event upsets (SEUs) is described. A simple, highly accurate model for the SEU robustne...
We study scenarios where mobile hubs are charged with building a communication bridge between two given points s and t. We introduce a new bi-criteria optimization problem where th...
Onur Tekdas, Yokesh Kumar, Volkan Isler, Ravi Jana...
Graph partitioning is a well-known optimization problem of great interest in theoretical and applied studies. Since the 1990s, many multilevel schemes have been introduced as a pra...