The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the effect of noise on the shape interaction matrix, which looses its block-diagonal structure and as a result the assignment of elements to objects becomes difficult. The aim in this paper is to overcome this problem using graph-spe...

The purpose of this paper is to clarify how students perceive changes in the educational environment, such as distance learning. A survey was conducted by creating questions that were narrowed down into specific methods, categorizing remote teaching methods text-based, on-demand, or interactive, and sub-dividing on-demand type slides with sound via video recording. As a result, most common clas...

*Correspondence: [email protected] 1Instituto de Investigacion y Desarrollo de Procesos, Universidad del Pais Vasco, Campus of Leioa (Bizkaia), Aptdo. 644, Bilbao, Bilbao 48080, Spain Full list of author information is available at the end of the article Abstract This paper discusses three contractive conditions for two 2-cyclic self-mappings defined on the union of two nonempty subsets of ...

Distance measures between quantum states like the trace distance and the fidelity can naturally be defined by optimizing a classical distance measure over all measurement statistics that can be obtained from the respective quantum states. In contrast, Petz showed that the measured relative entropy, defined as a maximization of the Kullback-Leibler divergence over projective measurement statisti...

Based on a survey of 197 Sydneysiders undertaken during the COVID-19 Lockdown, this study shows time spent in transport was missed most by public users, followed push bike e-bike pedestrians, and finally drivers. Men more than women. It also finds that for transfers, less they miss commuting.

Issue addressed Travel satisfaction has become an increasingly popular construct for the assessment and monitoring of transport systems and services. However, satisfaction may not adequately assess emotion or mood towards walking and cycling, especially when infrastructure is biased towards motor vehicle modes. In this exploratory study we sought to examine the associations of both satisfaction...

Background: Street imagery is a promising big data source providing current and historical images in more than 100 countries. Previous studies used this data to audit built environment features. Here we explore a novel application, using Google Street View (GSV) to predict travel patterns at the city level. Methods: We sampled 34 cities in Great Britain. In each city, we accessed GSV images fro...