595 search results - page 1 / 119 » A Density-Based Data Reduction Algorithm for Robust Estimato... |
IBPRIA
2007
Springer
13 years 6 months ago
2007
Springer
In this paper we present a non parametric density-based data reduction technique designed to be used in robust parameter estimation problems. Existing approaches are focused on red...
ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
SMI
2007
IEEE
13 years 11 months ago
2007
IEEE
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we cons...
SYNASC
2005
IEEE
13 years 10 months ago
2005
IEEE
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...