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    A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series 

    Hao, M. C.; Janetzko, H.; Mittelstädt, S.; Hill, W.; Dayal, U.; Keim, D. A.; Marwah, M.; Sharma, R. K. (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Time series prediction methods are used on a daily basis by analysts for making important decisions. Most of these methods use some variant of moving averages to reduce the number of data points before prediction. However, ...
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    Probabilistic Marching Cubes 

    Pöthkow, Kai; Weber, Britta; Hege, Hans-Christian (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    In this paper we revisit the computation and visualization of equivalents to isocontours in uncertain scalar fields. We model uncertainty by discrete random fields and, in contrast to previous methods, also take arbitrary ...
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    A User Study of Visualization Effectiveness Using EEG and Cognitive Load 

    Anderson, Erik W.; Potter, K. C.; Matzen, L. E.; Shepherd, J. F.; Preston, G. A.; Silva, C. T. (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Effectively evaluating visualization techniques is a difficult task often assessed through feedback from user studies and expert evaluations. This work presents an alternative approach to visualization evaluation in which ...
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    A Shader Framework for Rapid Prototyping of GPU-Based Volume Rendering 

    Rieder, Christian; Palmer, Stephan; Link, Florian; Hahn, Horst K. (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    In this paper, we present a rapid prototyping framework for GPU-based volume rendering. Therefore, we propose a dynamic shader pipeline based on the SuperShader concept and illustrate the design decisions. Also, important ...
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    Curve Density Estimates 

    Lampe, Ove Daae; Hauser, Helwig (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    In this work, we present a technique based on kernel density estimation for rendering smooth curves. With this approach, we produce uncluttered and expressive pictures, revealing frequency information about one, or, multiple ...
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    Enhancing Scatterplots with Multi-Dimensional Focal Blur 

    Staib, Joachim; Grottel, Sebastian; Gumhold, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Scatterplots directly depict two dimensions of multi-dimensional data points, discarding all other information. To visualize all data, these plots are extended to scatterplot matrices, which distribute the information of ...
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    Visualizing the Impact of Geographical Variations on Multivariate Clustering 

    Zhang, Yifan; Luo, Wei; Mack, Elizabeth A.; Maciejewski, Ross (The Eurographics Association and John Wiley & Sons Ltd., 2016)
    Traditional multivariate clustering approaches are common in many geovisualization applications. These algorithms are used to define geodemographic profiles, ecosystems and various other land use patterns that are based ...
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    Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction 

    Berger, Wolfgang; Piringer, H.; Filzmoser, P.; Gröller, Eduard (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Systems projecting a continuous n-dimensional parameter space to a continuous m-dimensional target space play an important role in science and engineering. If evaluating the system is expensive, however, an analysis is ...
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    Prostate Cancer Visualization from MR Imagery and MR Spectroscopy 

    Marino, Joseph; Kaufman, Arie (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Prostate cancer is one of the most prevalent cancers among males, and the use of magnetic resonance imaging (MRI) has been suggested for its detection. A framework is presented for scoring and visualizing various MR data ...
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    Visual Boosting in Pixel-based Visualizations 

    Oelke, Daniela; Janetzko, Halldor; Simon, Svenja; Neuhaus, Klaus; Keim, Daniel A. (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Pixel-based visualizations have become popular, because they are capable of displaying large amounts of data and at the same time provide many details. However, pixel-based visualizations are only effective if the data set ...
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    AuthorTheisel, Holger (5)Günther, Tobias (4)Bruckner, Stefan (3)Westermann, Rüdiger (3)Bremer, Peer-Timo (2)Grottel, Sebastian (2)Gröller, Eduard (2)Gumhold, Stefan (2)Hege, Hans-Christian (2)Keim, Daniel A. (2)... View MoreSubject
    I.3.3 [Computer Graphics] (45)
    Picture/Image Generation (41)Line and curve generation (19)Viewing algorithms (9)Display algorithms (7)I.3.6 [Computer Graphics] (6)Methodology and Techniques (5)Applications (4)Display Algorithms (4)I.3.7 [Computer Graphics] (3)... View MoreDate Issued2011 (14)2016 (13)2015 (10)2013 (8)Has File(s)true (45)

    Eurographics Association copyright © 2013 - 2020 
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    TUGFhA