Evaluation, solved and unsolved problems, and future directions are popular themes pervading the visualization community over the last decade. The top unsolved problem in both scientific and information visualization was the subject of an IEEE Visualization Conference panel in 2004. The future of graphics hardware was another important topic of discussion the same year. The subject of how to evaluate visualization returned a few years later. Chris Johnson published a list of 10 top problems in scientific visualization research. This was followed up by report of both past achievements and future challenges in visualization research as well as financial support recommendations to the National Science Foundation (NSF) and National Institute of...
This paper explores the extent to which a scientific framework for visualization might be possible. ...
Almost all fields of study and practice sooner or later will confront the big-data problem. Visualiz...
We describe a selection of challenges at the intersection of machine learning and data visualization...
The visualization community is currently in a phase of self evaluation and retrospec-tion. Almost 20...
IEEE Computer Graphics and Applications, 25 (4). 12-16. Retrieved 6/21/2006 from http://www.pages.dr...
International audienceWe present the results of a comprehensive multi-pass analysis of visualization...
Evaluation, solved and unsolved problems, and future directions are popular themes pervading the vis...
This paper provides an overview and survey of the rapidly growing field of \u27visualization\u27. T...
Visualizations are graphical representations of data that have been used in a wide-ranging field of ...
International audienceThe visualization research community can and should reach broader audiencesbey...
Massively Parallel Supercomputers are once again quickly outpacing our ability to organize, manage a...
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume stud...
The medical domain has been an inspiring application area in visualization research for many years a...
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
From 06-14-2009 to 06-19-2009, the Dagstuhl Seminar 09251 ``Scientific Visualization \u27\u27 was he...
This paper explores the extent to which a scientific framework for visualization might be possible. ...
Almost all fields of study and practice sooner or later will confront the big-data problem. Visualiz...
We describe a selection of challenges at the intersection of machine learning and data visualization...
The visualization community is currently in a phase of self evaluation and retrospec-tion. Almost 20...
IEEE Computer Graphics and Applications, 25 (4). 12-16. Retrieved 6/21/2006 from http://www.pages.dr...
International audienceWe present the results of a comprehensive multi-pass analysis of visualization...
Evaluation, solved and unsolved problems, and future directions are popular themes pervading the vis...
This paper provides an overview and survey of the rapidly growing field of \u27visualization\u27. T...
Visualizations are graphical representations of data that have been used in a wide-ranging field of ...
International audienceThe visualization research community can and should reach broader audiencesbey...
Massively Parallel Supercomputers are once again quickly outpacing our ability to organize, manage a...
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume stud...
The medical domain has been an inspiring application area in visualization research for many years a...
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
From 06-14-2009 to 06-19-2009, the Dagstuhl Seminar 09251 ``Scientific Visualization \u27\u27 was he...
This paper explores the extent to which a scientific framework for visualization might be possible. ...
Almost all fields of study and practice sooner or later will confront the big-data problem. Visualiz...
We describe a selection of challenges at the intersection of machine learning and data visualization...