Introduction: Retropharyngeal space schwannomas are rare entities. About 20-45% of schwannomas occur in the head and neck region; however, they represent less than 1% of all head and neck tumors.  Case Report: We present the case of a 36-year-old woman complaining of dysphagia caused by a large schwannoma arising in the posterior pharyngeal wall with remarkable reduction of the oropharyngeal sp...

project selection is considered as an important problem in project management. it is multi-criteria in nature and is based on various quantitative and qualitative factors. the main purpose of this paper is to present a new rank-based method for project selection in outranking relation. according to this approach, decision alternatives were clustered in the concordance matrix and the discordance...

Distance-based methods in pattern recognition and machine learning have to rely on a similarity or dissimilarity measure between patterns in the input space. For many applications, Euclidean distance in the input space is not a good choice and hence more complicated distance metrics have to be used. In this paper, we propose a parametric method for metric learning based on class label informati...

this paper considers the multi-depot vehicle routing problem with time window in which each vehicle starts from a depot and there is no need to return to its primary depot after serving customers. the mathematical model which is developed by new approach aims to minimizing the transportation cost including the travelled distance, the latest and the earliest arrival time penalties. furthermore, ...

Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distributed data. In this paper, we relax the global Gaussian assumption made by the Euclidean distance, and propose a locale Gaussian modelling for the immediate neighbourhood of the samples, resulting in an augmented data sp...

In this paper, we propose a new approach to content-based image retrieval that uses space transformation methods to transform the original low-level image space into a reduced dimension highlevel vector space that enables efficient query processing. Our retrieval system consists of two phases: database population and image retrieval. Our approach is generic as it can be applied to many other ap...