Sciweavers

25 search results - page 1 / 5
» Optimal outlier removal in high-dimensional
Sort
View
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 6 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
STOC
2001
ACM
111views Algorithms» more  STOC 2001»
14 years 5 months ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala
CVPR
2010
IEEE
14 years 29 days ago
Outlier Removal Using Duality
In this paper we consider the problem of outlier removal for large scale multiview reconstruction problems. An efficient and very popular method for this task is RANSAC. However, a...
Carl Olsson, Anders Eriksson, Richard Hartley
ICASSP
2011
IEEE
12 years 8 months ago
Operational performances of a MUSIC algorithm robust to outliers
In operational systems (Radar, communication, sonar,..), for practical considerations the MUSIC pseudo spectrum optimization must be conducted after removing the outliers. When th...
Anne Ferréol, Pascal Larzabal
ACCV
2009
Springer
13 years 11 months ago
A Dynamic Programming Approach to Maximizing Tracks for Structure from Motion
We present a novel algorithm for improving the accuracy of structure from motion on video sequences. Its goal is to efficiently recover scene structure and camera pose by using dyn...
Jonathan Mooser, Suya You, Ulrich Neumann, Raphael...