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ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 4 months ago
Monocular range sensing: A non-parametric learning approach
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...
Christian Plagemann, Felix Endres, Juergen Michael...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 4 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
CAIP
2005
Springer
133views Image Analysis» more  CAIP 2005»
15 years 3 months ago
Finding the Number of Clusters for Nonparametric Segmentation
Non-parametric data representation can be done by means of a potential function. This paper introduces a methodology for finding modes of the potential function. Two different me...
Nikolaos Nasios, Adrian G. Bors
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 2 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
88
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IDA
1999
Springer
15 years 1 months ago
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
A method for the linear discrimination of two classes has been proposed by us in 3 . It searches for the discriminant direction which maximizes the distance between the projected c...
Mayer Aladjem