Many skeletonisation algorithms for discrete volumes have been proposed. Despite its simplicity, the one given here still has many theoretically favorable properties. Actually, it provides a connected surface skeleton that allows shapes to be reconstructed with bounded error. It is based on the application of directional erosions, while retaining those voxels that introduce disconnections. This...

The ability of determining all defining hyperplanes of DEA production possibility set (efficient frontier) prior to the DEA computations is of extreme importance. Specially, access to efficient frontier permits a complete analysis (e.g. calculation of efficiency scores, returns to scale, sensitivity analysis and so on) in second phase for the corresponding model. This paper presents a linear sy...

We consider the problem of developing an efficient algorithm for enumerating the extreme points of a convex polytope specified by linear constraints. Murty and Chung [8] introduced the concept of a segment of a polytope, and used it to develop some steps for carrying out the enumeration efficiently until the convex hull of the set of known extreme points becomes a segment. That effort stops wit...

In this paper we present a new feasible direction method to find all efficient extreme points for bi criterion linear fractional programming problems. This method is based on the conjugate gradient projection method. An initial feasible point is used to generate all efficient extreme points for this problem through a sequence of feasible directions of movement. Since methods based on vertex inf...

Recent evidence suggests that people are highly efficient at detecting conflicting outputs produced by competing intuitive and analytic reasoning processes. Specifically, De Neys and Glumicic (2008) demonstrated that participants reason longer about problems that are characterized by conflict (as opposed to agreement) between stereotypical personality descriptions and base-rate probabilities of...

In aerial image object detection, how to efficiently detect different size objects in input images of scales and obtain a unified multi-scale representation the is an important issue. Existing methods rarely consider connection between training inference, do not well optimize constraint samples process, which limits performance representation. this study, efficient detection algorithm for propo...