When investigating multidimensional data sets with very large numbers of objects and/or a very large number of dimensions, a variety of visualization methods can be employed in order to represent the data effectively and to enable the user to explore the data at different levels of detail. A common strategy for encoding multidimensional data for visual analysis is to use dimensionality reductio...

Statistical machine translation of patents requires large amounts of sentence-parallel data. Translations of patent text often exist for parts of the patent document, namely title, abstract and claims. However, there are no direct translations of the largest part of the document, the description or background of the invention. We document a twofold approach for extracting parallel data from all...

The aim of our study was to test the hypothesis that two systems are involved in verbal working memory; one is specifically dedicated to the maintenance of phonological representations through verbal rehearsal while the other would maintain multimodal representations through attentional refreshing. This theoretical framework predicts that phonologically related phenomena such as the phonologica...

Knowledge workers are often embedded in an organizational setting, where execution of processes allows for appropriate, context-sensitive support. When a knowledge worker starts a new task in a workflow management system, chances are good, that someone of his colleagues has already performed or is currently busy with a similar task. Our research aims at enabling a knowledge worker to make use o...

multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...

Purpose Through the lens of self-perception theory, this paper investigates how avatar design (i.e. user similarity) affects users' self-awareness and shapes their task engagement performance in Metaverse. Design/methodology/approach The authors conducted a 2 (avatar similarity: high vs low) × (task type: procedural creative) lab experiment collected data from questionnaires, recording behavior...

Recent research on task switching has paid little attention to how tasks are represented and how the relations between task representations might affect the executive processes engaged to achieve a task switch. Two experiments investigated the effect of task similarity on task switching. Similarity was defined in terms of shared component operations--attentional control settings in Experiment 1...

The ability to detect similarity in conjunct heads is potentially a useful tool in helping to disambiguate coordination structures a difficult task for parsers. We propose a distributional measure of similarity designed for such a task. We then compare several different measures of word similarity by testing whether they can empirically detect similarity in the head nouns of noun phrase conjunc...