This paper introduces a novel similarity learning framework. Working with inequality
constraints involving quadruplets of images, our approach aims at efficiently modeling …

This paper is concerned with the problem of learning a distance metric by considering
meaningful and discriminative distance constraints in some contexts where rich information …

Think tanks have been proved helpful for decision-making in various communities. However,
collecting information manually for think tank construction implies too much time and labor …

Purpose–Preservation environments such as repositories need scalable and context-aware
preservation planning and monitoring capabilities to ensure continued accessibility of …

Purpose–This article aims to evaluate a new architecture for scalable decision-making and
control in preservation environments for its ability to address five key goals: scalable content …

The ability to recognize when digital content is becoming endangered is essential for
maintaining the long-term, continuous and authentic access to digital assets. To achieve this …

The ability to recognize when digital content is becoming endangered is essential for
maintaining the long-term, continuous and authentic access to digital assets. To achieve this …

Although migrating library applications to Cloud environment is not an easy task, many
libraries are interested in using Cloud infrastructure services broadly across their …

Dieser Artikel gibt einen Überblick über das Europäische Forschungsprojekt SCAPE. Das
Thema „Big Data “wird im Kontext der digitalen Bibliothek mit einem Fokus auf …

This thesis focuses on distance metric learning for image and webpage comparison.
Distance metrics are used in many machine learning and computer vision contexts such as k …