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Oesterling P, Heine C, Weber GH, Scheuermann G.  2014.  A Topology-Based Approach to Visualize the Thematic Composition of Document Collections. Text Mining, Theory and Applications of Natural Language Processing. :63-85.
Schreck T, von Landesberger T, Bremm S.  2010.  Techniques for Precision-Based Visual Analysis of Projected Data.. IS&T/SPIE Conference on Visualization and Data Analysis (VDA 2010). Abstract
Sedlmair M, Tatu A, Munzner T, Tory M.  2012.  A Taxonomy of Visual Cluster Separation Factors. Computer Graphics Forum (Proc. EuroVis 2012). 31(3):1335-1344.
Schöning J, Heidemann G.  2016.  Taxonomy of 3D Sensors - A Survey of State-of-the-Art Consumer 3D-Reconstruction Sensors and Their Field of Applications. Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). 3:194-199.
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Radloff A, Fuchs G, Schumann H.  2012.  Supporting Visual Analysis in Smart Meeting Rooms. Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA'12).
Hadlak S, Schumann H, Cap CH, Wollenberg T.  2013.  Supporting the Visual Analysis of Dynamic Networks by Clustering associated Temporal Attributes. IEEE Transactions on Visualization and Computer Graphics. 19(12):2267--2276.
Radloff A, Luboschik M, Sips M, Schumann H.  2011.  Supporting Display Scalability by Redundant Mapping. Proceedings of Advances in Visual Computing - International Symposium on Visual Computing (ISVC'11).
Röhlig M, Luboschik M, Krüger F, Kirste T, Schumann H, Bögl M, Alsallakh B, Miksch S.  2015.  Supporting activity recognition by visual analytics. Visual Analytics Science and Technology (VAST). :41-48.
Spehr M, Gumhold S, Fleming RW.  2011.  Sum-of-Superellipses - A Low Parameter Model for Amplitude Spectra of Natural Images. International Conference on Image Analysis and Processing 2011. 6978/2011:128--138.
Tatu A, Maaß F, Färber I, Bertini E, Schreck T, Seidl T, Keim DA.  2012.  Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST). :63-72.
Günnemann S, Färber I, Virochsiri K, Seidl T.  2012.  Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :352-360.