Our research group Apple is recruiting PhD student interns working in #visualization + #machinelearning. Past interns have published award-winning papers and deployed interactive tools that impact billions.
Come work with us!
Homepage | https://www.domoritz.de |
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Our research group Apple is recruiting PhD student interns working in #visualization + #machinelearning. Past interns have published award-winning papers and deployed interactive tools that impact billions.
Come work with us!
Our research group at Apple is looking for a research engineer to build the future of #interpretable and #safe #machinelearning and #AI.
You can add alt texts to figures in #LaTeX with `alt={...}`.
The alt texts won't necessarily appear in the generated PDF until new versions of LaTeX but let's start with this good practice now. #accessibility #TeXLaTeX
Thanks Google. Very helpful.
I am trying to transfer my files and email from UW because they are disabling my Google account soon.
I hadn't noticed it until now so I wonder since when IEEE Xplore publishes HTML versions of papers. Does anyone know?
For example https://ieeexplore.ieee.org/document/7539624.
We present Vega-Lite, a high-level grammar that enables rapid specification of interactive data visualizations. Vega-Lite combines a traditional grammar of graphics, providing visual encoding rules and a composition algebra for layered and multi-view displays, with a novel grammar of interaction. Users specify interactive semantics by composing selections. In Vega-Lite, a selection is an abstraction that defines input event processing, points of interest, and a predicate function for inclusion testing. Selections parameterize visual encodings by serving as input data, defining scale extents, or by driving conditional logic. The Vega-Lite compiler automatically synthesizes requisite data flow and event handling logic, which users can override for further customization. In contrast to existing reactive specifications, Vega-Lite selections decompose an interaction design into concise, enumerable semantic units. We evaluate Vega-Lite through a range of examples, demonstrating succinct specification of both customized interaction methods and common techniques such as panning, zooming, and linked selection.