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ICCV
2003
IEEE
14 years 6 months ago
Unsupervised Improvement of Visual Detectors using Co-Training
One significant challenge in the construction of visual detection systems is the acquisition of sufficient labeled data. This paper describes a new technique for training visual d...
Anat Levin, Paul A. Viola, Yoav Freund
IJSI
2008
156views more  IJSI 2008»
13 years 4 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
CONEXT
2010
ACM
13 years 2 months ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
EPIA
2003
Springer
13 years 9 months ago
Border Detection on Remote Sensing Satellite Data Using Self-Organizing Maps
In this paper, a new approach to Mediterranean Water Eddy border detection is proposed. Kohonen self-organizing maps (SOM) are used as data mining tools to cluster image pixels thr...
Nuno M. C. Marques, Ning Chen
CVPR
2006
IEEE
14 years 6 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman