926 search results - page 2 / 186 » Outliers and Bayesian Inference |
PRL
2008
13 years 4 months ago
2008
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...
ICCV
2005
IEEE
13 years 10 months ago
2005
IEEE
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...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
SIGMOD
2010
ACM
13 years 9 months ago
2010
ACM
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...