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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 9 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
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...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
JMLR
2002
140views more  JMLR 2002»
13 years 4 months ago
On Boosting with Polynomially Bounded Distributions
We construct a framework which allows an algorithm to turn the distributions produced by some boosting algorithms into polynomially smooth distributions (w.r.t. the PAC oracle...
Nader H. Bshouty, Dmitry Gavinsky
SIGSOFT
1998
ACM
13 years 9 months ago
On-Line Change Mechanisms
Our interest in the eld of software architecture is focused on the application in technical systems, such as control systems. Our current research in this eld is centered around a...
Sylvia Stuurman, Jan van Katwijk
PRL
2007
138views more  PRL 2007»
13 years 4 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
CVIU
2007
129views more  CVIU 2007»
13 years 4 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji