Graph-based approach for airborne light detection and ranging segmentation

Keywords

Lidar, Ranging, Computer science, Segmentation, Graph

References

• Stacked generalizationDavid H. Wolpert — 1992
• Domain-Based Benchmark Experiments: Exploratory and Inferential AnalysisManuel J. A. Eugster, Torsten Hothorn, Friedrich Leisch — 2016
• Special Invited Paper-Additive logistic regression: A statistical view of boostingJerome H. Friedman — 2000
• Remote Sensing and Spatial Information SciencesRalf Reulke, Uwe Knauer — 2005
• Applied Predictive ModelingMax Kühn, Kjell Johnson — 2013
• Hough-Transform and Extended RANSAC Algorithms for Automatic Detection of 3D Building Roof Planes from Lidar DataFayez Tarsha Kurdi, Tania Landes, Pierre Grussenmeyer — 2007
• The Elements of Statistical Learning: Data Mining, Inference, and PredictionTrevor Hastie, J. Friedman, Robert Tibshirani — 2001
• Programs for Machine LearningSteven L. Salzberg, Alberto M. Segre — 1994
• Modern Applied Statistics with SW. N. Venables, B. D. Ripley — 2010
• Generating Accurate Rule Sets Without Global OptimizationEibe Frank, Ian H. Witten — 1998
• How to Make Stacking Better and Faster While Also Taking Care of an Unknown WeaknessAlexander K. Seewald — 2002
• Lazy Learning of Bayesian RulesZijian Zheng, Geoffrey I. Webb — 2000
• Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree HybridRon Kohavi — 1996
• Stacking Bagged and Dagged ModelsKai Ming Ting, Ian H. Witten — 1997
• Least Squares Support Vector Machine ClassifiersJohan A. K. Suykens, Joos Vandewalle — 1999
• Using Model Trees for ClassificationEibe Frank, Yong Wang, Stuart J. Inglis — 1998
• Discriminant Analysis by Gaussian MixturesTrevor Hastie, Robert Tibshirani — 1996
• Fast growing and interpretable oblique trees via logistic regression modelsAlfred Kar Yin Truong — 2009
• Building Predictive Models in R Using the caret PackageMax Kühn — 2008
• The Alternating Decision Tree Learning AlgorithmYoav Freund, Llew Mason — 1999

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