4 papers
Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
Daniel Klötzl, Ozan Tastekin, David Hägele +2
Multidimensional data is often associated with uncertainties that are not well-described by normal distributions. In this work, we describe how such distributions can be projected…
Two Empirical Studies on Audiovisual Semiotics of Uncertainty
Sita Vriend, David Hägele, Daniel Weiskopf
There exists limited theoretical guidance on integrating visualization and sonification. In this paper, we address this gap by investigating audiovisual semiotics for uncertainty r…
Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling
Marina Evers, David Hägele, Sören Döring +1
Progressive dimensionality reduction algorithms allow for visually investigating intermediate results, especially for large data sets. While different algorithms exist that progres…
Maximum entropy and quantized metric models for absolute category ratings
Dietmar Saupe, Krzysztof Rusek, David Hägele +2
The datasets of most image quality assessment studies contain ratings on a categorical scale with five levels, from bad (1) to excellent (5). For each stimulus, the number of ratin…