Salience detection is a principle mechanism to facilitate visual attention. A good visualization guides the observer’s attention to the relevant aspects of the representation. Hence, the distribution of salience over a visualization image is an essential measure of the quality of the visualization. We describe a method for computing such a metric for a visualization image in the context of a gi...

We propose a method of visualizing superpositions of macroscopically distinct states in manybody pure states. We introduce a visualization function, which is a coarse-grained quasi joint probability density for two or more hermitian additive operators. If a state contains superpositions of macroscopically distinct states, one can visualize them by plotting the visualization function for appropr...

One of the biggest challenges statisticians face when working with non-statisticians on applied problems is to be able to effectively communicate the statistical results. In this paper we discuss the use of interactive visualization as a tool to present the relationship between a binary response and a set of explanatory variables. The visualization system we present allows users to "manipulate"...

Advection has been the standard transport mechanism in flow visualization. Diffusion, in contrast, has not been considered important in visual flow field analysis so far, although it is inherent to many physical processes. We present a novel technique that allows for interactive 3D visualization of both advection and diffusion in unsteady fluid flow. We extend texture-based flow visualization, ...

The self-organizing map (SOM) is widely used as a data visualization method especially in various engineering applications. It performs a non-linear mapping from a high-dimensional data space to a lower dimensional visualization space. The SOM can be used for example in correlation detection and cluster visualization in explorative manner. In this paper two tools for reeng the SOM-based visuali...

Event extraction from texts aims to detect structured information such as what has happened, to whom, where and when. Event extraction and visualization are typically considered as two different tasks. In this paper, we propose a novel approach based on probabilistic modelling to jointly extract and visualize events from tweets where both tasks benefit from each other. We model each event as a ...

Distributed applications composed of many cooperating components, written in diierent computing environments , that will become more common in the near future, increase substantially demands for monitoring and visualization tools. Complexity and the non-deterministic nature of such programs cause that information about them is diicult to manage, store, and visualize. In this paper solutions to ...

Hierarchical data sets often include relations indicating natural or imposed dependencies between data items. Both types of relations, hierarchical and other, are often needed to understand the data. We present, ARCTREES, a novel way of visualizing hierarchical and non-hierarchical relations within one interactive visualization. An initial user study is described wherein ARCTREES compared favor...

Visualization resizing is useful for many applications such as collaborative business intelligence where users may use display devices with different sizes and aspect ratios. General resizing techniques (e.g., uniform scaling) and image resizing techniques suffer from several drawbacks, as they do not consider the content of visualizations. In this work, we introduce ViSizer, a perception-based...