595 search results - page 4 / 119 » A Density-Based Data Reduction Algorithm for Robust Estimato... |
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
TAL
2010
Springer
13 years 7 months ago
2010
Springer
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
ISBI
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a simple and straightforward analytic solution for the Q-ball reconstruction of the diffusion orientation distribution function (ODF) of the underlying fiber population...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
Robust registration of two 3-D point sets is a common problem in computer vision. The Iterative Closest Point (ICP) algorithm is undoubtedly the most popular algorithm for solving...