In this paper, a simulated annealing algorithm is presented for the Bandwidth Minimization Problem for Graphs. This algorithm is based on three distinguished features including an...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
This paper presents a technique for glitch power minimization in combinational circuits. The total number of glitches is reduced by replacing some existing gates with functionally...
Luca Benini, Giovanni De Micheli, Alberto Macii, E...
Abstract. Many computer vision problems such as object segmentation or reconstruction can be formulated in terms of labeling a set of pixels or voxels. In certain scenarios, we may...
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...