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TOG
2008
122views more  TOG 2008»
13 years 8 months ago
Time-resolved 3d capture of non-stationary gas flows
Fluid simulation is one of the most active research areas in computer graphics. However, it remains difficult to obtain measurements of real fluid flows for validation of the simu...
Bradley Atcheson, Ivo Ihrke, Wolfgang Heidrich, Ar...
SBRN
2002
IEEE
14 years 1 months ago
Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
Mauricio Kugler, Heitor Silvério Lopes
PDPTA
2010
13 years 6 months ago
Data-Parallelism and GPUs for Lattice Gas Fluid Simulations
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...
CCE
2004
13 years 8 months ago
New measures and procedures to manage financial risk with applications to the planning of gas commercialization in Asia
This paper presents some new concepts and procedures for financial risk management. To complement the use of value at risk a new concept, upside potential or opportunity value as ...
Ahmed Aseeri, Miguel J. Bagajewicz
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
14 years 13 days ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone