DocumentCode
2647847
Title
A new spatially adaptive smoothing procedure based on bagging algorithm
Author
Zhao, Hui ; Xiao, Ming
Author_Institution
Central China Normal Univ., Wuhan
Volume
4
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
1594
Lastpage
1599
Abstract
This paper proposes a new spatially adaptive smoothing procedure which is based on bagging algorithm and hybrid adaptive splines. Extensive simulation studies demonstrate its advantages in spatial adaptability and competitive performance with other existing well known methods. Furthermore, this method can be easily extended to many multivariate cases.
Keywords
adaptive signal processing; regression analysis; smoothing methods; splines (mathematics); bagging algorithm; hybrid adaptive splines; regression spline; spatial adaptive smoothing procedure; stepwise regression; Algorithm design and analysis; Bagging; Mathematics; Notice of Violation; Pattern analysis; Pattern recognition; Shape; Smoothing methods; Stability; Wavelet analysis; Bagging algorithm; regression spline; smoothing spline; spatial adaptability; stepwise regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4421706
Filename
4421706
Link To Document