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» A Discriminant Analysis for Undersampled Data
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ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 2 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
PR
2008
104views more  PR 2008»
13 years 7 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
TSP
2008
57views more  TSP 2008»
13 years 7 months ago
Polarimetric Detection of Targets in Heavy Inhomogeneous Clutter
Polarization diversity has proved to be a useful tool for radar detection, especially when discrimination by Doppler effect is not possible. In this paper, we address the problem o...
Martin Hurtado, Arye Nehorai
TWC
2008
133views more  TWC 2008»
13 years 7 months ago
Dual-polarized wireless communications: from propagation models to system performance evaluation
In this paper, we address the potential benefits of dual-polarized arrays in multi-antenna wireless systems. After an extensive literature overview of experimental data, we present...
Claude Oestges, Bruno Clerckx, Maxime Guillaud, M&...
EAAI
2010
144views more  EAAI 2010»
13 years 2 months ago
Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion
The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
Sylvain Verron, Teodor Tiplica, Abdessamad Kobi