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BACKGROUND Difficulties in prediction and early identification of (acute kidney injury) AKI have hindered the ability to develop preventive and therapeutic measures for this syndrome. We tested the hypothesis that a urine test measuring insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers(More)
In text-to-avatar translation systems, facial expressions and mouth patterns are a vital part of a natural sign language avatar animation. However, gloss-based corpora often lack detail with respect to such non-manual features. To create a translation system which can produce facial expressions and mouthings, a more fine-grained annotation is necessary. In(More)
This paper describes the statistical machine translation (SMT) systems developed by RWTH Aachen University for the translation task of the EMNLP 2011 Sixth Workshop on Statistical Machine Translation. Both phrase-based and hierarchical SMT systems were trained for the constrained German-English and French-English tasks in all directions. Experiments were(More)
Multiple lines of evidence implicate the basolateral amygdala (BLA) and the noradrenergic (norepinephrine, NE) system in responding to stressful stimuli such as fear signals, suggesting hyperfunction of both in the development of stress-related pathologies including anxiety disorders. However, no causative link between elevated NE neurotransmission and BLA(More)
This paper introduces the RWTH-PHOENIX-Weather corpus, a video-based, large vocabulary corpus of German Sign Language suitable for statistical sign language recognition and translation. In contrast to most available sign language data collections, the RWTH-PHOENIX-Weather corpus has not been recorded for linguistic research but for the use in statistical(More)
Sign languages represent an interesting niche for statistical machine translation that is typically hampered by the scarceness of suitable data, and most papers in this area apply only a few, well-known techniques that are not adapted to small-sized corpora. In this article, we analyze existing data collections and emphasize their quality and usability for(More)
PythiaSearch is a multimedia information retrieval system supporting multiple search strategies. Based on the promising results of the underlying query model in 2011's Image-CLEF Wikipedia task, we have implemented an interactive retrieval system which supports multimodal data such as images, (multilingual) texts, and various metadata formats that can be(More)
This paper introduces the RWTH-PHOENIX-Weather 2014, a video-based, large vocabulary, German sign language corpus which has been extended over the last two years, tripling the size of the original corpus. The corpus contains weather forecasts simultaneously interpreted into sign language which were recorded from German public TV and manually annotated using(More)
This paper describes our participation to the 2014 edition of the TrecVid Multimedia Event Detection task. Our system is based on a collection of local visual and audio de-scriptors, which are aggregated to global descriptors, one for each type of low-level descriptor, using Fisher vectors. Besides these features, we use two features based on convolutional(More)