Identifying objects that are common to a set of images is an important step in unsupervised image analysis. While existing approaches to object extraction and co-segmentation commonly focus merely on joint per-class appearance models, we propose a model that incorporates additional label and boundary co-occurrence information with little additional communication across images. This model admits...

Novel Optimality Cuts for Two-Stage Stochastic Mixed-Integer Programs The applicability and use of two-stage stochastic mixed-integer programs is well-established, thus calling efficient decomposition algorithms to solve them. Such typically rely on optimality cuts approximate the expected second stage cost function from below. In “A Converging Benders’ Decomposition Algorithm Recourse Models,”...

  Background: Total knee arthroplasty is a complex procedure aiming to relieve pain and improve function. It is critical to select prosthesis that best cover the bone surfaces. Ethnicity may affect fitness of the components mainly designed for Caucasian populations. This study aimed to evaluate morphometric features of proximal tibia in Iranian population.   Methods : During 2013, 150 consecuti...

The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising, for example, in network design when quality of service is of concern. We solve a strong integer linear programming formulation based on so-called jump inequalities by a Branch&Cut algorithm. As the separation subproblem of identifying currently violated jump inequalities is difficult, we...

This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is c...