In this paper, we present a high fidelity and efficient emulation framework called TWINE, which combines the accuracy and realism of emulated and physical networks and the scala...
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Abstract. W3C's OWL has gained wide acceptance in the agent community and it has already been used in many agent applications which we think syntactically. By taking advantage...
This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to ensure the optimal performance for the desired level of security. The adaptive c...
This paper describes a supervised segmentation algorithm which draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been ...