An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity

IEEE Pacific Visualization Symposium

Volumn 2015-July, Issue , 2015, Pages 223-230

  Biswas, Ayan ^a   Thompson, David ^b   He, Wenbin ^a   Deng, Qi ^c   Chen, Chun Ming ^a   Shenk, Han Wei ^a   Machiraju, Raghu ^a   Rangarajan, Anand ^c  

^a OHIO STATE UNIVERSITY   (United States)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VISUALIZATION; VORTEX FLOW;

DEGREE OF CONFIDENCE; GLOBAL FEATURE; POINT-BASED METHODS; SOFT THRESHOLDING; SPATIAL PROXIMITY; UNCERTAINTY MODELING; VORTEX ANALYSIS; VORTEX DETECTION;

UNCERTAINTY ANALYSIS;

EID: 84942250562     PISSN: 21658765     EISSN: 21658773     Source Type: Conference Proceeding    
DOI: 10.1109/PACIFICVIS.2015.7156381     Document Type: Conference Paper

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