39 search results - page 2 / 8 » Supervised Learning of Places from Range Data using AdaBoost |
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
SMC
2007
IEEE
13 years 11 months ago
2007
IEEE
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
ICVS
2009
Springer
13 years 2 months 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 ...
AAAI
2008
13 years 7 months ago
2008
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
GFKL
2007
Springer
13 years 8 months ago
2007
Springer
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...