In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
Seung-Jean Kim, Alessandro Magnani, Stephen P. Boy...
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
Abstract. We present a formal system that models programmable abstractions for access control. Composite abstractions and patterns of arbitrary complexity are modeled as a configu...
—This paper studies a natural formulation of the timing-driven maze routing problem. A multigraph model appropriate for global routing applications is adopted; the model naturall...
We introduce a distributed and tractable mechanism for the allocation of continuously divisible resources to agents, that locally maximises the (Nash) product of their individual ...