407 search results - page 8 / 82 » On the least median square problem |
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
COMPGEOM
2006
ACM
15 years 3 months ago
2006
ACM
In this paper, we study the problem of L1-fitting a shape to a set of point, where the target is to minimize the sum of distances of the points to the shape, or alternatively the...
76
Voted
CDC
2009
IEEE
15 years 23 days ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
CDC
2008
IEEE
14 years 9 months ago
2008
IEEE
Abstract-- This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feat...
82
Voted
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...