A hierarchical methodology for class detection problems with skewed priors

Journal of Classification

Volumn 22, Issue 1, 2005, Pages 17-48

  Eveland, Christopher K ^a   Socolinsky, Diego A ^a   Priebe, Carey E ^b   Marchette, David J ^c  

^a Equinox Corporation   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c NAVAL SURFACE WARFARE CENTER   (United States)

Author keywords

Boosting; Classification; Face detection; Prototype selection

Indexed keywords

EID: 23044474834     PISSN: 01764268     EISSN: 14321343     Source Type: Journal    
DOI: 10.1007/s00357-005-0004-9     Document Type: Review

References (21)

1. BREIMAN, L. (1998), "Arcing Classifiers (With Discussion)," Annals of Statistics, 26, 801-849.
2. BURGESS, C.J.C. (1996), "Simplified Support Vector Decision Rules," in M. Kaufman (Ed.), Proceeding of the 13th International Conference on Machine Learning, pp. 71-77.
3. DEVINNEY, J., PRIEBE, C.E., MARCHETTE, D.J., and SOCOLINSKY, D. (2002), "Random Walks and Catch Digraphs in Classification," Computing Science and Statistics, 34.
4. DUDA, R.O., and HART, P.E. (1973), Pattern Classification and Scene Analysis, New York: John Wiley & Sons.
5. DUDA, R.O., HART, P.E., and STORK, D.G. (2000), Pattern Classification, New York: John Wiley & Sons.
6. FLEURET, F., and GEMAN, D. (2001), "Coarse-to-Fine Face Detection," International Journal of Computer Vision, 41, 85-107.
7. FUKUNAGA, K. (1990), Introduction to Statistical Pattern Recognition (2nd ed.), San Diego: Academic Press.
8. HASTIE, T., TIBSHIRANI, R., and FRIEDMAN, J. (2001), The Elements of Statistical Learning: Data Mining, Inference and Prediction, New York: Springer.
9. JAIN, A.K., DUIN, R.P.W., and MAO, J. (2000), "Statistical Pattern Recognition: A Review," IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 4-37.
10. KULKARNI, S., LUGOSI, G., and VENKATESH, S. (1998), "learning Pattern Classification - A Survey," IEEE Transactions on Information Theory, 44, 2178-2206.
11. MCLACHLAN, G.J., and PEEL, D. (2000), Finite Mixture Models, New York: John Wiley & Sons.
12. PRIEBE, C., MARCHETTE, D., DEVINNEY, J., and SOCOLINSKY, D. (2003), "Classification Using Class Cover Catch Digraphs," Journal of Classification, 20, 2-23.
13. RIPLEY, B. (1996), Pattern Recognition and Neural Networks, Cambridge: Cambridge University Press.
14. SCHÖLKOPF, B., BURGESS, C.J.C., KNIRSCH, P., MÜLLER, K.-R., RÄTSCH, G., and SMOLA, A. (1999), "Input Space vs. Feature Space in Kernel-Based Methods - Support Vector Learning", IEEE Transactions on Neural Networks, 10, 1000-1017.
15. SCOTT, D.W. (1992), Multivariate Density Estimation: Theory, Practice, and Visualization, New York: John Wiley & Sons.
16. SILVERMAN, B.W. (1986), Density Estimation for Statistics and Data Analysis, New York: Chapman and Hall.
17. SOCOLINSKY, D.A., NEUHEISEL, J.D., PRIEBE, C.E., MARCHETTE, D., and DEVINNEY, J.G. (2003), "A Boosted CCCD Classifier for Fast Face Detection", Computing Science and Statistics, 35.
18. VAPNIK, V. (1998), Statistical Learning Theory, New York: Wiley Interscience.
19. VIOLA, P., and JONES, M. (2001a), "Rapid Object Detection using a Boosted Cascade of Simple Features", in Computer Vision and Pattern Recognition, IEEE Computer Society, pp.I.511-518.
20. VIOLA, P., and JONES, M. (2001b), "Robust Real-Time Face Detection", in International Conference on Computer Vision, IEEE Computer Society, p.II:747.
21. ZUO, Y., and SERFLING, R. (2000), "General Notions of Statistical Depth Function", Annals of Statistics, 28, 461-482.