Data-driven Fluid Simulations using Regression Forests

ACM Transactions on Graphics

Volumn 34, Issue 6, 2015, Pages

  Ladický, L'ubor ^a   Jeong, Sohyeon ^a   Solenthaler, Barbara ^a   Pollefeys, Marc ^a   Gross, Markus ^a,b  

^a ETH ZURICH   (Switzerland)

^b DISNEY RESEARCH   (United States)

Author keywords

Data driven; Fluid simulation; Regression forest

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL EFFICIENCY; FORESTRY; LEARNING ALGORITHMS; LEARNING SYSTEMS; REAL TIME SYSTEMS; REGRESSION ANALYSIS;

COMPUTATIONAL RESOURCES; DATA DRIVEN; FLUID SIMULATIONS; GENERALIZATION PROPERTIES; GPU IMPLEMENTATION; REGRESSION FORESTS; REGRESSION PROBLEM; THREE ORDERS OF MAGNITUDE;

NAVIER STOKES EQUATIONS;

EID: 84995790721     PISSN: 07300301     EISSN: 15577368     Source Type: Journal    
DOI: 10.1145/2816795.2818129     Document Type: Conference Paper

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