8 search results - page 1 / 2 » An omission approach for detecting outliers in fuzzy regress... |
FSS
2006
13 years 4 months ago
2006
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
EUSFLAT
2003
13 years 6 months ago
2003
In regression analysis, outliers always represent difficulties because they cause modeling errors. But under certain circumstances, they can actually contain useful information, as...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
CVPR
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper presents a novel feature-matching based approach for rigid object tracking. The proposed method models the tracking problem as discovering the affine transforms of obje...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
Detection of curled textline is important for dewarping of hand-held camera-captured document images. Then baselines and the lines following the top of x-height of characters (x-l...