In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
Abstract. Distributed applications rely on middleware to enable interaction among remote components. Thus, the overall performance increasingly depends on the interplay between the...
The main characteristics of component models is their strict structure enabling better code reuse. Correctness of component composition is well understood formally but existing wor...