This paper shows results on gender and body mass index (BMI) classification using anthropometric and gait information gathered from subjects using a Microsoft Kinect sensor. We show that it’s possible to obtain high accuracies when identifying gender, but that classifying BMI is a harder task. We also compare the performance of different machine learning algorithms and different combination of ...

A common and important query type in spatial networks is to find the Group KNearest Neighbors “GKNN” of a given query objects set. Given two sets of points P and Q, the result of group Knearest neighbors (GKNN) query is the point(s) of P with the smallest sum of distances to all points in Q. Due to the difficulties and the expense of the required calculations to answer such a query, almost all ...

In this work, one and two-dimensional lattices are studied theoretically by a statistical mechanical approach. The nearest and next-nearest neighbor interactions are both taken into account, and the approximate thermodynamic properties of the lattices are calculated. The results of our calculations show that: (1) even though the next-nearest neighbor interaction may have an insignificant ef...