Visual comparison for information visualization
By Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles D. Hansen, Jonathan C. Roberts. Information Visualization, 2011
640 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a5e3cf9f7bfdbc227673a6d8f4d59112f1b5bb3a
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In Artificial Intelligence
In Computer Vision and Pattern Recognition
In Statistical and Nonlinear Physics
Citations in the corpus
- Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, neutral): “In the context of information visualization, Gl _ eicher et al. [45] classify comparative visualization according to three categories: 1) juxtaposition, which compares objects side-by-side; alternatively, 2) the data can be overlaid in the same frame of reference (similar to visual fusion [29]); or…”
- Understanding Hidden Memories of Recurrent Neural Networks (2017, background): “[15] suggested three typical strategies for comparative visualization, namely, juxtaposition (or separation), superposition (or overlay), and explicit encoding.”
- A visual analytics approach to understanding cycling behaviour (2012, neutral): “…describes the strategy as follows: For the sequences of space travel, when the camera is filming from without like an eye floating in the void, Kubrick appears to apply a simple principle faithful to physical reality: since there is no sound in a vacuum, there will not be the slightest sound…”