Filling Gaps in Micro-meteorological Data

Filling in the gaps

Alongside increasing use of Machine Translation (MT) in translator workflows, Translation Memory (TM) continues to be a valuable tool providing complementary functionality, and is a technology that has evolved in recent years, in particular with developments around subsegment recall that attempt to leverage more content from TM data than segment-level fuzzy matching. But how fit-for-purpose is ...

Filling in the Gaps

Atrial fibrillation (AF) is an extremely common arrhythmia with important consequences and presently suboptimal therapeutic options.1 A great deal of research has been performed to understand the detailed mechanisms of AF, with the hope that a better appreciation of the fundamental determinants of arrhythmogenesis will lead to the development of novel, more successful treatment possibilities.2

Filling the Gaps

Filling the Gaps MANY doctors pride themselves as being one of a team: or part of a comprehensive service, which will give the best attention to all the needs of the patient. The medical student or student nurse is trained to see team work in operation not only between the different specialists and between them and the various (so-called) "ancillary" services, but even with an increasing number...

Filling Long-Time Gaps of Motion Capture Data

We present a general method for data-driven filling of gaps in marker-based mocap data. The novel approach can handle challenging cases, especially if complete marker sets of multiple body parts are missing over a long period of time. Without the need for extensive preprocessing we are able to fix missing markers across different actors and motion styles.

Filling Irregular Warfare’s Interagency Gaps