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» On-line Boosting and Vision
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ECCV
2008
Springer
16 years 2 days 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
104
Voted
ICPR
2002
IEEE
15 years 11 months ago
QuickStroke: An Incremental On-Line Chinese Handwriting Recognition System
This paper presents QuickStroke: a system for the incremental recognition of handwritten Chinese characters. Only a few strokes of an ideogram need to be entered in order for a ch...
Nada P. Matic, John C. Platt, Tony Wang
93
Voted
CVPR
2010
IEEE
15 years 3 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
77
Voted
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 2 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