In this paper, we propose a new universal network, called recursive dual-net (RDN), as a potential candidate for the interconnection network of supercomputers with very large scal...
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an e...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
To accommodate applications with highly variable degrees and categories of Quality of Service (QoS) requirements, a major effort has been invested to overcome the traditional best-...
We propose a new approach to easily creating 3 0 geometric models. A technique called interactive evolutionary computation (IEC) is introduced to accelerate user’s invention and...