The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing the distance between MTS Receiver Operating Characteristics (ROC) curve and t...

This paper deals with the multiple ellipse fitting problem based on a given set of data points in a plane. The presumption is that all data points are derived from k ellipses that should be fitted. The problem is solved by means of center-based clustering, where cluster centers are ellipses. If the Mahalanobis distance-like function is introduced in each cluster, then the cluster center is repr...

Today, real-time fault detection and predictive maintenance based on sensor data are actively introduced in various areas such as manufacturing, aircraft, power system monitoring. Many faults motors or rotating machinery like industrial robots, aircraft engines, wind turbines can be diagnosed by analyzing signal vibration noise. In this study, to detect failures data, preprocessing was performe...

In the broad design space of telepresence systems, we are interested in contexts where users collaborate over a shared workspace. Our work involving connecting distributed touch surfaces (e.g. distributed tabletops) has shed light on the problem of supporting reference space—the ability of collaborators to point at, and refer to objects in the workspace. A promising approach to support this ges...

We propose a framework for recognizing actions or gestures by modelling variations of the corresponding shape postures with respect to each action class thereby removing the need for normalization for the speed of motion. The three main aspects are the shape descriptor suitable for describing its posture, the formation of a suitable posture space, and a regression mechanism to model the posture...

Copy Abstract: The present work analyses the predictive validity of measures provided by several available self-report and indirect measurement instruments to assess risk propensity (RP) and proposes a measurement instrument using the Implicit Association Test: the IAT of Risk Propensity Self-Concept (IAT-RPSC), an adaptation of the prior IAT-RP of Dislich et al. Study 1 analysed the relationsh...

We consider the supervised classification problem of machine learning in Cayley-Klein projective geometries: We show how to learn a curved Mahalanobis metric distance corresponding to either the hyperbolic geometry or the elliptic geometry using the Large Margin Nearest Neighbor (LMNN) framework. We report on our experimental results, and further consider the case of learning a mixed curved Mah...

Based on a gender equity perspective and within a pluralistic civil society, women should have equal rights for presence in and use of urban open spaces. Despite this, various factors decrease their presence including inappropriate design of space, as well as socio-cultural obstacles. Since women’s major place of presence and activity has traditionally been in or near home, neighborhood open s...