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» Extracting general-purpose features from LIDAR data
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ICANN
2001
Springer
14 years 2 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi
ICML
2009
IEEE
14 years 10 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
ICPR
2002
IEEE
14 years 10 months ago
Radial Projections for Non-Linear Feature Extraction
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
Alberto J. Pérez Jiménez, Juan Carlo...
VVS
1998
IEEE
115views Visualization» more  VVS 1998»
14 years 1 months ago
Extracting ISO-Valued Features in 4-Dimensional Scalar Fields
Isosurfaces are an important tool for finding features in 3D scalar data. This paper describes how recursive contour meshing is applied to extract similar features in 4-dimensiona...
Chris Weigle, David C. Banks
HAIS
2008
Springer
13 years 10 months ago
Extraction of Geometrical Features in 3D Environments for Service Robotic Applications
Modeling environments with 3D feature based representations is a challenging issue in current mobile robotics. Fast and robust algorithms are required for applicability to navigati...
Paloma de la Puente, Diego Rodríguez-Losada...