125 search results - page 1 / 25 » A novel robust method for large numbers of gross errors |
ICARCV
2002
IEEE
13 years 9 months ago
2002
IEEE
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...
MOBIHOC
2006
ACM
14 years 4 months ago
2006
ACM
Location knowledge of nodes in a network is essential for many tasks such as routing, cooperative sensing, or service delivery in ad hoc, mobile, or sensor networks. This paper in...
BMCBI
2011
12 years 8 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
BMCBI
2004
13 years 4 months ago
2004
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
CSDA
2008
13 years 4 months ago
2008
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...