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» Quantile approximation for robust statistical estimation
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COMPGEOM
2004
ACM
14 years 26 days ago
On the least median square problem
We consider the exact and approximate computational complexity of the multivariate LMS linear regression estimator. The LMS estimator is among the most widely used robust linear s...
Jeff Erickson, Sariel Har-Peled, David M. Mount
BMCBI
2010
124views more  BMCBI 2010»
13 years 7 months ago
Estimation and efficient computation of the true probability of recurrence of short linear protein sequence motifs in unrelated
Background: Large datasets of protein interactions provide a rich resource for the discovery of Short Linear Motifs (SLiMs) that recur in unrelated proteins. However, existing met...
Norman E. Davey, Richard J. Edwards, Denis C. Shie...
CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ECCV
2006
Springer
14 years 9 months ago
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer visio...
Frédo Durand, Sylvain Paris
ICCV
2005
IEEE
14 years 1 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...