References
- P. Viola, M. Jones, "Rapid object detection using boosted cascade of simple features," Computer Vision and Pattern Recognition, vol. 1, pp. 511-518, 2001.
- W. Yongqiao, W. Shouyang and K. K. Lai, "A New Fuzzy Support Vector Machine to Evaluate Credit Risk," IEEE Transactions on Fuzzy Systems, vol. 13, no. 16, pp. 820-831, 2005. https://doi.org/10.1109/TFUZZ.2005.859320
- W. Chunpeng, D. Lijuan, M. Jun, F. Faming and W. Xuebin, "Detection of Front-View Vehicle with Occlusions Using AdaBoost," ICIECS Conference on Information Engineering and Computer Science, pp. 1-4, 2009.
- Y. Freund, Robert E. Schapire, "A decision- theoretic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119-139, 1997. https://doi.org/10.1006/jcss.1997.1504
- Y. Freund and R. E. Schapire, "A short introduction to boosting," Journal of Japanese Society for Artificial Intelligence, vol. 14, no. 5, pp. 771-780, 1999.
- N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Computer Vision and Pattern Recognition, vol. 1, pp. 886-893, 2005.
- Z. Qiang, Y. Mei-Chen, and C. Kwang-Ting, "Fast human detection using a cascade of histograms of oriented gradients," Computer Vision and Pattern Recognition, vol. 2, pp. 1491- 1498, 2006.
- F. Suard, A. Rakotomamonjy, A. Bemsrhair, and A. Broggi, "Pedestrian detection using infrared images and histogram of oriented gradients," Intelligent Vehicles Symposium, pp. 206- 212, 2006.
- S. Shan, P. Yang, X. Chen and W. Gao, "AdaBoost Gabor Fisher Classifier for Face Recognition," in Proc. AMFG, pp. 279-292, 2005.
- P. Viola and M. Jones, "Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade," in Proc. NIPS, pp. 1311-1318, 2001.
- T. Onoda, G. Rätsch and K. R. Muller, "An Asymptotic Analysis of AdaBoost in the Binary Classification Case," in Proc. ICANN, pp. 195-200, 1998.
- Raeetsch, G, Onoda, T, Muller and K. R. Muller, "An Improvement of AdaBoost to Avoid Overfitting," in Proc. ICONIP, pp. 506-509, 1998.
- L. Li and H. Lin, "Ordinal Regression by Extended Binary Classification," in Proc. NIPS, pp. 865-872, 2006.
- T. Takenouchi and S. Eguchi, "Robustifying AdaBoost by Adding the Naive Error Rate," in Proc. Neural Computation, pp. 767-787, 2004.
- G. Rätsch, T. Onoda and K. Müller, "Soft Margins for AdaBoost", in Proc. Machine Learning, pp. 287-320, 2001.
- V. Gomez-Verdejo, M. Ortega-Moral, J. Arenas-Garcia, and A.R. Figueiras-Vidal, "Boosting by weighting boundary and erroneous samples," in Proc. ESANN, pp. 85-90, 2005.
- C. R. Wang and J. J. Lien, "AdaBoost Learning for Human Detection Based on Histograms of Oriented Gradients," in Proc. ACCV, pp. 885-895, 2007.
- J. Shen, C. Sun, W. Yang and Z. Sun, "Fast Human Detection Based on Enhanced Variable Size HOG Features," in Proc. ISNN, pp. 342-349, 2011.