The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Abstract— This paper investigates optimal routing and adaptive scheduling in a wireless mesh network composed of mesh clients and mesh routers. The mesh clients are power constra...
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
In this paper, the stability of equilibrium formations for multiple unicycle systems in cyclic pursuit is studied in detail. The cyclic pursuit setup is particularly simple in tha...
Joshua A. Marshall, Mireille E. Broucke, Bruce A. ...
—In this paper we present a novel anisotropic diffusion model targeted for 3D scalar field data. Our model preserves material boundaries as well as fine tubular structures whil...