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ICPR
2010
IEEE
14 years 12 days ago
Active Boosting for Interactive Object Retrieval
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...
ECCV
2008
Springer
14 years 9 months ago
Semi-supervised On-Line Boosting for Robust Tracking
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 ...
Helmut Grabner, Christian Leistner, Horst Bischof
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 11 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
AAAI
2004
13 years 9 months ago
Online Parallel Boosting
This paper presents a new boosting (arcing) algorithm called POCA, Parallel Online Continuous Arcing. Unlike traditional boosting algorithms (such as Arc-x4 and Adaboost), that co...
Jesse A. Reichler, Harlan D. Harris, Michael A. Sa...
ISCAS
2002
IEEE
111views Hardware» more  ISCAS 2002»
14 years 14 days ago
CASCADE - configurable and scalable DSP environment
As the complexity of embedded systems grows rapidly, it is common to accelerate critical tasks with hardware. Designers usually use off-the-shelf components or licensed IP cores t...
Tay-Jyi Lin, Chein-Wei Jen