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ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
IWANN
2005
Springer
13 years 11 months ago
2005
Springer
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
KDD
1999
ACM
13 years 10 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
ICPR
2008
IEEE
14 years 5 days ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...