This paper introduces a new method to maximize kurtosisbased contrast functions. Such contrast functions appear in the problem of blind source separation of convolutively mixed so...
Abstract: This paper presents a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identi...
Abstract-- Image computation is the core operation for optimization and formal verification of sequential systems like controllers or protocols. State exploration techniques based ...
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...
We present new primal-dual algorithms for several network design problems. The problems considered are the generalized Steiner tree problem (GST), the directed Steiner tree proble...