A novel method is proposed to retrieve image sequences with the goal of forecasting complex and timevarying natural patterns. To that end, we introduce a framework called Memory-Based Forecasting; it provides forecast information based on the temporal development of past retrieved sequences. This paper targets the radar echo patterns in weather radar images, and aims to realize an image retriev...

Artificially produced chemical elements heavier than uranium have been known for more than seventy years and the number of superheavy elements continues to grow. Presently 26 transuranic elements are known. This paper examines the earliest scientific interest in the very heavy elements and the related question of an upper limit of the periodic system. In the period from the 1880s to the early 1...

Motivations for drawing hierarchical structures are probably as diverse as datasets to visualize. This ubiquity of tree structures has lead to a manifold of tree layout algorithms and tree visualization systems. While many tree layouts exist, increasingly massive data sets, expanding computational power, and still relatively limited display space make tree layout algorithms a topic of ongoing i...

A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts’ decision making. This paper targets the local precipitation phenomena captured as echo patterns in weather radar images, and aims to realize a tool that supports weather forecasters. In our framework, past image patterns similar to...

It has been suggested that language learners prefer phonologically natural patterns overunnaturalones(McCarthy&Prince,1995;Tesar&Smolensky,1993,2000).Various researchers have cited evidence for this assertion based on production (Demuth, 1995; Gnanadesikan, 1995) and perception (Jusczyk, Smolensky, & Allocco, 2002). Two experiments presented in this article test whether 9-month-old infants lear...