Boosting techniques for physics-based vortex detection

Computer Graphics Forum

Volumn 33, Issue 1, 2014, Pages 282-293

  Zhang, L ^a   Deng, Q ^b   Machiraju, R ^c   Rangarajan, A ^b   Thompson, D ^d   Walters, D K ^d   Shen, H W ^c  

^a QILU UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF FLORIDA   (United States)

^c The Ohio State University   (United States)

^d MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

flow visualization; machine learning; methods and applications; scientific visualization; visualization

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL FLUID DYNAMICS; DATA VISUALIZATION; FLOW OF FLUIDS; FLOW VISUALIZATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; SIGNAL DETECTION; VISUALIZATION; VORTEX FLOW;

COMPONENT CLASSIFIERS; COMPOUND CLASSIFIERS; COMPUTATIONAL FLUID; DYNAMICAL SIMULATION; MACHINE LEARNING TECHNIQUES; MISCLASSIFICATION RATES; NON-LOCAL PHENOMENA; TURBULENT FLUID FLOW;

CLASSIFICATION (OF INFORMATION);

EID: 84894559383     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/cgf.12275     Document Type: Article

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