123 search results - page 11 / 25 » Robust binary least squares: Relaxations and algorithms |
ICPR
2000
IEEE
15 years 10 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 ...
89
Voted
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— The goal of this paper is to present an overview of robust estimation techniques with a special focus on robotic vision applications. In this particular context, constraints du...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
102
Voted
BMCBI
2007
14 years 9 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...