Search for dissertations about: "Visualization"
Showing result 6 - 10 of 570 swedish dissertations containing the word Visualization.
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6. 3D Occlusion Management and Causality Visualization
Abstract : This thesis is split into two parts: one part dealing with the management of occlusion in 3D environments, the other with the visualization of causal relations. Both of these parts fall within the general framework of visualization---the graphical representation of data (abstract or concrete) with the purpose of amplifying cognition---but they do so in different ways. READ MORE
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7. Efficient Medical Volume Visualization : An Approach Based on Domain Knowledge
Abstract : Direct Volume Rendering (DVR) is a visualization technique that has proved to be a very powerful tool in many scientific visualization applications. Diagnostic medical imaging is one domain where DVR could provide clear benefits in terms of unprecedented possibilities for analysis of complex cases and highly efficient work flow for certain routine examinations. READ MORE
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8. Multivariate Networks : Visualization and Interaction Techniques
Abstract : As more and more data is created each day, researchers from different science domains are trying to make sense of it. A lot of this data, for example our connections to friends on different social networking websites, can be modeled as graphs, where the nodes are actors and the edges are relationships between them. READ MORE
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9. Towards the Visualization of Multivariate Biochemical Networks
Abstract : Many open challenges exist when dealing with different biological networks. They are crucial for the understanding of living beings. Complete drawings of these typically large networks usually suffer from clutter and visual overload. In order to overcome this issue, the networks are divided into single, hierarchically structured pathways. READ MORE
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10. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data
Abstract : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. READ MORE