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» Aerial Lidar Data Classification using AdaBoost
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ICIP
2009
IEEE
14 years 5 months ago
Classifying Urban Landscape In Aerial Lidar Using 3d Shape Analysis
The classification of urban landscape in aerial LiDAR point clouds is useful in 3D modeling and object recognition applications in urban environments. In this paper, we introduce ...
NECO
2006
157views more  NECO 2006»
13 years 4 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
ICPR
2004
IEEE
14 years 5 months ago
Building Detection by Dempster-Shafer Fusion of LIDAR Data and Multispectral Aerial Imagery
A method for the classification of land cover in urban areas by the fusion of first and last pulse LIDAR data and multi-spectral images is presented. Apart from buildings, the cla...
Brian C. Lovell, Franz Rottensteiner, John Trinder...
HIS
2004
13 years 6 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
MCS
2007
Springer
13 years 10 months ago
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Joseph DePasquale, Robi Polikar