|
|
|
References
|
|
|
1. |
L. Breiman, “Random Forests”, Machine Learning, 45:1 (2001), 5–32 |
2. |
L. Breiman, J. Friedman, R. Olshen, C. Stone, Classification and Regression Trees, Wadsworth, 1983 |
3. |
L. Breiman, “Bagging predictors”, Machine Learning, 26:2 (1996), 123–140 |
4. |
M. Enzweiler, D. M. Gavrila, “Monocular Pedestrian Detection: Survey and Experiments”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31:12 (2009), 2179–2195 |
5. |
Y. Freund, R. Schapire, “Experiments with a New Boosting Algorithm”, Machine Learning, Proceedings of the Thirteenth International Conference, Morgan Kauffman, San Francisco, 1996, 148–156 |
6. |
J. H. Friedman, Greedy Function Approximation: a Gradient Boosting Machine, Technical report, Dept. of Statistics, Stanford University, 1999 |
7. |
J. H. Friedman, Stochastic Gradient Boosting, Technical report, Dept. of Statistics, Stanford University, 1999 |
8. |
P. Geurts, D. Ernst, L. Wehenkel, “Extremely Randomized Trees”, Machine Learning, 36:1 (2006), 3–42 |
9. |
T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning, Springer-Verlag, 2008 |
10. |
Intel Threading Building Blocks http://www.threadingbuildingblocks.org (data obrascheniya: 07.12.2010) |
11. |
OpenCV Wiki http://opencv.willowgarage.com/wiki (data obrascheniya: 07.12.2010) |
12. |
UCI Machine Learning Repository http://archive.ics.uci.edu/ml (data obrascheniya: 07.12.2010) |
13. |
Vapnik V., Estimation of dependences based on empirical data, Springer, 1981 |