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In this paper we propose a shared regression network to jointly estimate the pose of multiple objects, replacing multiple object-specific solutions. We demonstrate that this shared network can outperform other similar approaches that rely on multiple object-specific models by evaluating it on the TLESS dataset using the VSD (Visible Surface Discrepancy). Our approach offers a less complex solution
Brain-computer interfaces (BCIs) translate brain activity into digital commands for interaction with the physical world. The technology has great potential in several applied areas, ranging from medical applications to entertainment industry, and creates new conditions for basic research in cognitive neuroscience. The BCIs of today, however, offer only crude online classification of the user's cur
Support for Machine Learning (ML) applications in networking has significantly improved over the last decade. The availability of public datasets and programmable switching fabrics (including low-level languages to program them) presents a full-stack to the programmer for deploying in-network ML. However, the diversity of tools involved, coupled with complex optimization tasks of ML model design a
As novelty is a core value in science, a reliable approach to measuring the novelty of scientific documents is critical. Previous novelty measures however had a few limitations. First, the majority of previous measures are based on recombinant novelty concept, attempting to identify a novel combination of knowledge elements, but insufficient effort has been made to identify a novel element itself
This article reports a meta-analysis based on a multiple case study of the use of learning study (LS) to understand children's learning in Swedish preschool. The aim is to investigate whether and how the LS model can be developed, adjusted and used to meet contemporary demands placed upon preschool teachers for increased content focus and improved cognitive outcomes. The research questions are (1)
The project focuses on Sweden's growing parcel locker networks used for e- commerce delivery. These lockers have the potential to improve e-commerce logistics' operational and environmental performance if efficiently designed. To achieve this and promote sustainability in Sweden's e-commerce market, effective policy tools are essential.The project aims to advance knowledge on parcel locker network
Night for Day uses the fake relationship between a mother and a son to think about what would happen if a communist revolutionary gave birth to a techno utopian, if gender as performitivity was thought through the lens of women making the political decision to live clandestinely in Portugal for a larger part of the 20th century and if the “Last Woman” were the fem bot from The Tales of Hoffman.Com
A recent profusion of statistics on classical music repertoire, performers, and education from across several countries have produced quantitative evidence confirming that it is primarily a musical tradition where white, middle class European cis-males succeed. This chapter examines how improving the inclusivity and equality of classical music conflicts with its beliefs in meritocracy and high mus
This contribution aims to demonstrate that and to what extent the Soviet kraevedenie strengthened the role of Lithuanian history during the late socialism (1956–1973). The Post-Stalinist memory politics encouraged the creation of local historical narratives within the context of people’s friendship and Soviet patriotism. This policy enabled areemergence of pre-soviet Lithuanian history in the publ
In modern industrial settings with small batch sizes it should be easy to set up a robot system for a new task. Strategies exist, e.g. the use of skills, but when it comes to handling forces and torques, these systems often fall short. We introduce an approach that provides a combination of task-level planning with targeted learning of scenario-specific parameters for skill-based systems. We propo
For patients with epilepsy, automatic epilepsy monitoring, i.e., the process of direct observation of the patient’s health status in real time, is crucial. Wearable systems provide the possibility of real-time epilepsy monitoring and alerting caregivers upon the occurrence of a seizure. In the context of the ICASSP 2023 Seizure Detection Challenge, we pro- pose a lightweight machine-learning frame
This article aims to explore how policy translation and institutional legacies have shaped South Korean parental leave policies between 1995 and 2021. It draws on a document analysis of central political documents and interviews with a number of key policy actors in South Korea. The findings show that reforms of parental leave policies were implemented according to four major rationales: maternity
Sanitation work in India is largely carried out by the historically marginalized Dalits, formerly known as untouchables, without proper devices or safety gear, as so-called ‘manual scavenging’. To counter manual scavenging, non-governmental organizations (NGOs) have turned to courts and litigation as a form of resistance. This brought about some successes: manual scavenging was repeatedly outlawed
Knowledge concerning the normal aging of cerebral white matter will improve our understanding of abnormal changes in neurodegenerative diseases. The microstructural basis of white matter maturation and aging can be investigated using diffusion tensor imaging (DTI). Generally, diffusion anisotropy increases during childhood and adolescence followed by a decline in middle age. However, this process
