This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
A novel methodology for circuit design and automatic layout generation is proposed for a class of mixed-signal circuits in presence of layout parasitics and substrate induced nois...
Paolo Miliozzi, Iasson Vassiliou, Edoardo Charbon,...
In this paper, we propose a new nonparametric region-based active contour model for clutter image segmentation. To quantify the similarity between two clutter regions, we propose t...
Standard methods for image interpolation are based on smoothly fitting the image intensity surface. Recent edgedirected interpolation methods add limited geometric information (ed...