Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
3D reconstruction from an unordered set of images may fail due to incorrect epipolar geometries (EG) between image pairs arising from ambiguous feature correspondences. Previous m...
— Energy consumption is a main issue of concern in wireless networks. Energy minimization increases the time that networks’ nodes work properly without recharging or substituti...
We propose a general dual-fitting technique for analyzing online scheduling algorithms in the unrelated machines setting where the objective function involves weighted flow-time...
Active contours is a popular technique for image segmentation.
However, active contour tend to converge to the
closest local minimum of its energy function and often requires
a ...