Jack McLaughlin and Les E. Atlas Interactive Systems Design Laboratory, Department of Electrical Engineering University of Washington, Box 352500, Seattle, WA 98195-2500, U.S.A. jackm | [email protected] phone: (206) 6851315 (Atlas) EDICS # SP 2.3.1 Abstract — An entirely new set of criteria for the design of kernels (generating functions) for time-frequency representations (TFRs) is p...

In this paper, we consider weighted inequalities for linear and multilinear fractional integrals with homogeneous kernels on Morrey spaces. Recently, weighted inequalities without homogeneous kernels were proved by the authors. In this paper, we generalize ones with homogeneous kernels.

We study a particular class of transition kernels that stems from differentiating Markov kernels in the weak sense. Sufficient conditions are established for this type of kernels to admit a Jordan-type decomposition. The decomposition is explicitly constructed.

In this paper we investigate the use of compactly supported RBF kernels for nonlinear function estimation with LS-SVMs. The choice of compact kernels recently proposed by Genton may lead to computational improvements and memory reduction. Examples however illustrate that compactly supported RBF kernels may lead to severe loss in generalization performance for some applications, e.g. in chaotic ...

in this paper it is shown that the use of‎ ‎uniform meshes leads to optimal convergence rates provided that‎ ‎the analytical solutions of a particular class of‎ ‎fredholm-volterra integral equations (fvies) are smooth‎.

In this article, we consider Bergman kernels with respect to modules at boundary points, and obtain a log-subharmonicity property of the kernels, which implies concavity related kernels. As applications, reprove sharp effectiveness result conjecture posed by Jonsson–Mustaţă strong openness points.

We present the Parallel Research Kernels; a collection of kernels supporting research on parallel computer systems. This set of kernels covers the most common patterns of communication, computation and synchronization encountered in parallel HPC applications. By focusing on these kernels instead of specific workloads, one can design an effective parallel computer system without needing to make ...