780 search results - page 32 / 156 » Robustness and Randomness |
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
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...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
ICIP
2004
IEEE
14 years 10 months ago
2004
IEEE
This paper describes a computational model for deriving a decomposition of objects from laser rangefinder data. The process aims to produce a set of parts defined by compactness a...
SIAMJO
2008
13 years 8 months ago
2008
Many optimization problems are naturally delivered in an uncertain framework, and one would like to exercise prudence against the uncertainty elements present in the problem. In pr...