Support vector machine for 3D modelling from sparse geological information of various origins
Tài liệu tham khảo
Abe, 2005
Bolduc, 2005, A 3D esker geomodel for groundwater research: the case of the Saint-Mathieu–Berry esker, Abitibi, Quebec, Canada, 17
Chang, C.-C., Lin C.-J., 2001. LIBSVM: a Library for Support Vector Machines. 〈http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf〉.
Chiles, J.P., Aug, C., Guillen, A., Lees, T., 2004. Modelling the geometry of geological units and its uncertainty in 3D from structural data: the potential-field method. In: Dimitrakopoulos, R., Ramazan, S. (Eds.), Proceedings of Orebody Modelling and Strategic Mine Planning, Perth, WA, pp. 313–320.
Courrioux, 2001, 3D volumetric modelling of Cadomian terranes (Northern Brittany, France): an automatic method using Voronoi diagrams, Tectonophysics, 331, 181, 10.1016/S0040-1951(00)00242-0
Cristianini, 2000
El-Naqa, 2002, Support vector machine learning for the detection of microcalcifications in mammograms, IEEE Transactions on Medical Imaging, 21, 1552, 10.1109/TMI.2002.806569
Gilardi, N., Kanevski, M., Maignan, M., Mayoraz, E., 1999. Environmental and pollution spatial data classification with support vector machines and geostatistics. In: Proceedings of Workshop W07 “Intellegent techniques for Spatio–Temporal Data Analysis in Environmental Applications”, ACAI99, July, Greece, pp. 43–51.
Girard, 2001
Hsu, 2002, A comparison of methods for multi-class support vector machines, IEEE Transactions on Neural Networks, 13, 415, 10.1109/72.991427
Hsu, C.-W., Chang, C.-C., Lin C.-J., 2004. A Practical Guide to Support Vector Classification. 〈http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf〉.
Lajaunie, 1997, Foliation fields and 3D cartography in geology: principles of a method based on potential interpolation, Mathematical Geology, 29, 571, 10.1007/BF02775087
Mallet, 1989, Discrete smooth interpolation, ACM Transactions on Graphics, 8, 121, 10.1145/62054.62057
Noble, 2005, Predicting the in vivo signature of human gene regulatory sequences, Bioinformatics, 21, 338, 10.1093/bioinformatics/bti1047
Sharifzadeh, 2005, Learning approximate thematic maps from labeled geospatial data, 129
Treece, G.M., Prager, R.W., Gee, A.H., Berman, L., 1998. Fast surface and volume estimation from non-parallel cross-sections, for freehand 3-D ultrasound. Technical Report CUED/F-INFENG/TR 326, Cambridge University, Cambridge, England, 68pp.
Treece, G.M., Prager, R.W., Gee, A.H., Berman, L., 1999. Surface interpolation from sparse cross-sections using region correspondence. Technical Report CUED/F-INFENG/TR 342, Cambridge University, Cambridge, England, 24pp.
Treece, G.M., Prager, R.W., Gee, A.H., 2000. Volume-based three-dimentional metamorphosis using region correspondence. Technical Report CUED/F-INFENG/TR 379, Cambridge University, Cambridge, England, 24pp.
Vapnik, 1995
Yu, 2004, EC-SVM approach for real-time hydrologic forecasting, Journal of Hydroinformatics, 06, 209, 10.2166/hydro.2004.0016