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CVPR
2010
IEEE
14 years 3 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
12 years 11 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
DAGSTUHL
1996
13 years 8 months ago
On-line Algorithms in Machine Learning
The areas of On-Line Algorithms and Machine Learning are both concerned with problems of making decisions about the present based only on knowledge of the past. Although these area...
Avrim Blum
FGR
2008
IEEE
180views Biometrics» more  FGR 2008»
13 years 7 months ago
Person-specific face recognition in unconstrained environments: a combination of offline and online learning
This paper studies face recognition and person-specific face image retrieval in unconstrained environments. The proposed method consists of two parts: offline and online learning....
Bangpeng Yao, Haizhou Ai, Shihong Lao
ECCV
2010
Springer
13 years 9 months ago
Inter-Camera Association of Multi-Target Tracks by On-line Learned Appearance Affinity Models
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...