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138
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ICPR
2006
IEEE
16 years 5 months ago
Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis
In this paper, we address issues in segmentation of remotely sensed LIDAR (LIght Detection And Ranging) data. The LIDAR data, which were captured by airborne laser scanner, contai...
Hong Wei, Marc Bartels
120
Voted
DAC
2002
ACM
16 years 4 months ago
Model order reduction for strictly passive and causal distributed systems
This paper presents a class of algorithms suitable for model reduction of distributed systems. Distributed systems are not suitable for treatment by standard model-reduction algor...
Luca Daniel, Joel R. Phillips
136
Voted
IPMI
2005
Springer
16 years 4 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
138
Voted
ICML
2007
IEEE
16 years 4 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
132
Voted
ICML
2005
IEEE
16 years 4 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan