Weak hypotheses and boosting for generic object detection and recognition

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Weak hypotheses and boosting for generic object detection and recognition. / Opelt, A.; Fussenegger, M.; Pinz, A. et al.
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. 2004. p. 71-84.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Opelt, A, Fussenegger, M, Pinz, A & Auer, P 2004, Weak hypotheses and boosting for generic object detection and recognition. in Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. pp. 71-84.

APA

Opelt, A., Fussenegger, M., Pinz, A., & Auer, P. (2004). Weak hypotheses and boosting for generic object detection and recognition. In Computer Vision - ECCV 2004, 8th European Conference on Computer Vision (pp. 71-84)

Vancouver

Opelt A, Fussenegger M, Pinz A, Auer P. Weak hypotheses and boosting for generic object detection and recognition. In Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. 2004. p. 71-84

Author

Opelt, A. ; Fussenegger, M. ; Pinz, A. et al. / Weak hypotheses and boosting for generic object detection and recognition. Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. 2004. pp. 71-84

Bibtex - Download

@inproceedings{e1abab7ad5194ac7ba4c0dff7c7e005f,
title = "Weak hypotheses and boosting for generic object detection and recognition",
author = "A. Opelt and M. Fussenegger and A. Pinz and Peter Auer",
year = "2004",
language = "English",
pages = "71--84",
booktitle = "Computer Vision - ECCV 2004, 8th European Conference on Computer Vision",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Weak hypotheses and boosting for generic object detection and recognition

AU - Opelt, A.

AU - Fussenegger, M.

AU - Pinz, A.

AU - Auer, Peter

PY - 2004

Y1 - 2004

M3 - Conference contribution

SP - 71

EP - 84

BT - Computer Vision - ECCV 2004, 8th European Conference on Computer Vision

ER -