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Jishang Wei, Hongfeng Yu, R. W. Grout, J. H. Chen, KwanLiu Ma, "Visual Analysis of Particle Behaviors to Understand Combustion Simulations," IEEE Computer Graphics and Applications, vol. 32, no. 1, pp. 2233, January/February, 2012.  
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@article{ 10.1109/MCG.2011.108, author = { Jishang Wei and Hongfeng Yu and R. W. Grout and J. H. Chen and KwanLiu Ma}, title = {Visual Analysis of Particle Behaviors to Understand Combustion Simulations}, journal ={IEEE Computer Graphics and Applications}, volume = {32}, number = {1}, issn = {02721716}, year = {2012}, pages = {2233}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2011.108}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  MGZN JO  IEEE Computer Graphics and Applications TI  Visual Analysis of Particle Behaviors to Understand Combustion Simulations IS  1 SN  02721716 SP22 EP33 EPD  2233 A1  Jishang Wei, A1  Hongfeng Yu, A1  R. W. Grout, A1  J. H. Chen, A1  KwanLiu Ma, PY  2012 KW  Data visualization KW  Data models KW  Artificial intelligence KW  Clustering algorithms KW  Computer graphics KW  Analytical models KW  Computational modeling KW  graphics and multimedia KW  visualization KW  simulation KW  modeling KW  machine learning KW  artificial intelligence KW  computer graphics VL  32 JA  IEEE Computer Graphics and Applications ER   
1. X. Zhu, Semisupervised Learning Literature Survey, tech. report 1530, Computer Sciences, Univ. WisconsinMadison, 2005.
2. J. Wei et al., "Dual Space Analysis of Turbulent Combustion Particle Data," Proc. 2011 IEEE Pacific Visualization Symp. (PacificVis 11), IEEE Press, 2011, pp. 91–98.
3. A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc., Series B, vol. 39, no. 1, 1977, pp. 1–38.
4. N. Peters, "Laminar Diffusion Flamelet Models in Nonpremixed Turbulent Combustion," Progress in Energy and Combustion Science, vol. 10, 1984, pp. 319–339.
5. J. Wei et al., "Parallel Clustering for Visualizing Large Scientific Line Data," Proc. IEEE Symp. Large Data Analysis and Visualization (LDAV 11), IEEE Press, 2011, pp. 68–76.
1. Z. Fang et al., "Visualization and Exploration of TimeVarying Medical Image Data Sets," Proc. Graphics Interface 2007, ACM Press, 2007, pp. 281–288.
2. J.J. van Wijk and E.R. van Selow, "Cluster and Calendar Based Visualization of Time Series Data," Proc. 1999 IEEE Symp. Information Visualization (InfoVis 99), IEEE CS Press, 1999, pp. 4–9.
3. H. Hochheiser and B. Shneiderman, "Interactive Exploration of Time Series Data," Proc. 4th Int. Conf. Discovery Science, Springer, 2001, pp. 441–446.
4. H. Akiba and K.L. Ma, "A Trispace Visualization Interface for Analyzing TimeVarying Multivariate Volume Data," Proc. Eurographics/IEEE VGTC Symp. Visualization, Eurographics Assoc., 2007, pp. 115–122.
5. Z. Konyha et al., "Interactive Visual Analysis of Families of Function Graphs," IEEE Trans. Visualization and Computer Graphics, vol. 12, no. 6, 2006, pp. 1373–1385.
6. P. Muigg et al., "A FourLevel Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data," Computer Graphics Forum, vol. 27, no. 3, 2008, pp. 775–782.
7. E. Bertini and D. Lalanne, "Investigating and Reflecting on the Integration of Automatic Data Analysis and Visualization in Knowledge Discovery," SIGKDD Explorations, vol. 11, no. 2, 2009, pp. 9–18.
8. D.A. Keim, F. Mansmann, and J. Thomas, "Visual Analytics: How Much Visualization and How Much Analytics?" SIGKDD Explorations, vol. 11, no. 2, 2009, pp. 5–8.
9. J. Woodring and H.W. Shen, "Semiautomatic TimeSeries Transfer Functions via Temporal Clustering and Sequencing," Computer Graphics Forum, vol. 28, no. 3, 2009, pp. 791–798.
10. T.Y. Lee and H.W. Shen, "Visualization and Exploration of Temporal Trend Relationships in Multivariate TimeVarying Data," IEEE Trans. Visualization and Computer Graphics, vol. 15, no. 6, 2009, pp. 1359–1366.
11. T. Schreck et al., "Visual Cluster Analysis of Trajectory Data with Interactive Kohonen Maps," Information Visualization, vol. 8, no. 1, 2009, pp. 14–29.
12. W. Aigner et al., "Visual Methods for Analyzing TimeOriented Data," IEEE Trans. Visualization and Computer Graphics, vol. 14, no. 1, 2008, pp. 47–60.
13. T.W. Liao, "Clustering of Time Series Data—a Survey," Pattern Recognition, vol. 38, no. 11, 2005, pp. 1857–1874.
14. E. Keogh, "A Decade of Progress in Indexing and Mining Large Time Series Databases," Proc. 32nd Int'l Conf. Very Large Data Bases (VLDB 06), VLDB Endowment, 2006, pp. 1268–1268.
1. S. Gaffney and P. Smyth, "Joint Probabilistic Curve Clustering and Alignment," Advances in Neural Information Processing Systems 17, MIT Press, 2004, pp. 473–480.
1. J.H. Chen et al., "Terascale Direct Numerical Simulations of Turbulent Combustion Using S3D," Computational Science and Discovery, vol. 2, no. 015001, 2009.
2. G.K. Batchelor, An Introduction to Fluid Dynamics, Cambridge Univ. Press, 1967.
3. S.H. Lamb, Hydrodynamics, 6th ed., Cambridge Univ. Press, 1994.
4. P. Yeung, "Lagrangian Investigations of Turbulence," Ann. Rev. Fluid Mechanics, vol. 34, 2002, pp. 115–142.