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» On-line Boosting and Vision
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ECCV
2008
Springer
16 years 24 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
ICPR
2002
IEEE
15 years 12 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
97
Voted
CVPR
2010
IEEE
15 years 4 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
81
Voted
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 3 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
68
Voted
ICPR
2002
IEEE
15 years 12 months ago
On-Line Handwriting Recognition Based on Bigram Co-Occurrences
Adnan El-Nasan, George Nagy