44 search results - page 7 / 9 » Aerial Lidar Data Classification using AdaBoost |
112
Voted
ICVS
2009
Springer
15 years 9 days ago
2009
Springer
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
108
Voted
ICIP
2010
IEEE
15 years 17 days ago
2010
IEEE
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
123
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
115
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CNSM
2010
15 years 18 days ago
2010
The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
128
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WWW
2008
ACM
16 years 3 months ago
2008
ACM
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...