7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
As ISPs and telcos converge toward all-IP network infrastructures, the problem of service reliability becomes more acute. In this article, we investigate to what extent DiffServ c...
Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance po...
In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max Model Predict...
: As service-oriented networks are essential in our lives, service location, access and provisioning over wired or wireless networks govern users’ satisfaction. While they are we...
Chai-Keong Toh, Guillermo Guichal, Dongkyun Kim, V...