We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
— We investigate spectrum sensing by energy detection based on two different objective functions: a Bayesian sensing cost or the network weighted sum capacity. The Bayesian cost ...
Peng Jia, Mai Vu, Tho Le-Ngoc, Seung-Chul Hong, Va...
In this paper we propose extensions to the match propagation algorithm which is a technique for computing quasidense point correspondences between two views. The extensions make t...
The importance of critical systems has been widely recognized and several efforts are devoted to integrate dependability requirements in their development process. Such efforts re...
Yudistira Asnar, Paolo Giorgini, Fabio Massacci, N...
Model-driven engineering is a powerful approach to build large-scale applications. However, an application’s metamodel often remains static after the initial development phase an...