55 search results - page 1 / 11 » Consensus with robustness to outliers via distributed optimi... |
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
ICCV
2009
IEEE
13 years 2 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...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
TSP
2010
12 years 11 months ago
2010
The problem of distributed average consensus with quantized data is considered in this correspondence. Conventional consensus algorithms suffer from divergence when quantization er...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...