This paper introduces a 2-D strain imaging technique based on minimizing a cost function using dynamic programming (DP). The cost function incorporates similarity of echo amplitude...
Many existing techniques for image restoration can be expressed in terms of minimizing a particular cost function. Iterative regularization methods are a novel variation on this th...
We propose a new family of Bayesian estimators for speech enhancement where the cost function includes both a power law and a weighting factor. The parameters of the cost function,...
Image matching is a stage one performs as soon as one has two images of the same scene, taken from two different points of view. Matching these images is to find the mathematical ...
The Hardware (HW)/Software (SW) partitioning/scheduling relies on two subtasks : the cost function and the real time (RT) analysis. Besides these two subtasks, the proposed generi...
The purpose of this paper is to quantify the efficiency with which Australian universities utilise their teaching resources. The study estimates the cost efficiency of 36 universi...
Given a graph G = (V, E) with a cost function c(S) ≥ 0 ∀S ⊆ V , we want to represent all possible min-cut values between pairs of vertices i and j. We consider also the spec...
Rapid increase in transistor density and operating frequency has led to the increase in power densities, exhibiting itself as a high temperature profile. The high temperature spots...
Abstract This paper presents a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other state of the art meth...
Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Phi...
Several optimization problems require finding a permutation of a given set of items that minimizes a certain cost function. These problems are naturally modelled in graph-theory t...
Livio Bertacco, Lorenzo Brunetta, Matteo Fischetti