2011 IEEE Pacific Visualization Symposium
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TOTAL DOCUMENTS

41

(FIVE YEARS 0)

H-INDEX

14

(FIVE YEARS 0)

Published By IEEE

9781612849355

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Title page

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742356 ◽

2011 ◽

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Visualizing dynamic data with maps

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742385 ◽

2011 ◽

Author(s):

Daisuke Mashima ◽

Stephen G. Kobourov ◽

Yifan Hu

Keyword(s):

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Reviewers

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742363 ◽

2011 ◽

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Interactive visualization of streaming data with Kernel Density Estimation

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742387 ◽

2011 ◽

Author(s):

Ove Daae Lampe ◽

Helwig Hauser

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Interactive Visualization ◽

Kernel Density ◽

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Author index

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742394 ◽

2011 ◽

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Keynote address: New approaches to large data visualization

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742365 ◽

2011 ◽

Author(s):

Kwan-Liu Ma

Keyword(s):

Data Visualization ◽

Keynote Address ◽

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The Neuron Navigator: Exploring the information pathway through the neural maze

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742370 ◽

2011 ◽

Author(s):

Ching-Yao Lin ◽

Kuen-Long Tsai ◽

Sheng-Chuan Wang ◽

Chang-Huain Hsieh ◽

Hsiu-Ming Chang ◽

...

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Keynote address: Why everyone seems to be using spring embedders for network visualization, and should not

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742366 ◽

2011 ◽

Author(s):

Ulrik Brandes

Keyword(s):

Network Visualization ◽

Keynote Address

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Supporting organizations

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742359 ◽

2011 ◽

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Keynote address: Immersive exploration of large datasets

2011 IEEE Pacific Visualization Symposium ◽

10.1109/pacificvis.2011.5742364 ◽

2011 ◽

Author(s):

Arie Kaufman

Keyword(s):

Large Datasets ◽

Keynote Address

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