Comparison of parametric and nonparametric ROC confidence bound construction in the context of acoustic/magnetic fusion systems for mine hunting

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3392, Issue , 1998, Pages 1163-1178

  Bello, Martin G ^a  

^a CHARLES STARK DRAPER LABORATORY   (United States)

Author keywords

Bootstrap method; Confidence bounds; ROC curves

Indexed keywords

MINES; POLLUTION; UNDERWATER ACOUSTICS;

BOOTSTRAP METHOD; CONFIDENCE BOUNDS; CONSTRUCTION METHODS; DATA VARIABILITIES; FUSION SYSTEMS; NON-PARAMETRIC; RECEIVER OPERATING CHARACTERISTIC CURVES; ROC CURVES; SONAR DATUM; TRAINING DATUM; UNIFIED APPROACHES;

REMEDIATION;

EID: 0001090884     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.324195     Document Type: Conference Paper

References (6)

1. M. G. Bello, "Acoustic/Magnetic Fusion System Architecture Variants and their Classification Performance," SPIE Aerospace Sensing Conference, Orlando, Florida, April 1997
2. M. G. Bello, "Hierarchical Multilayer Perceptron Based Fusion Algorithms for Detection/Classification of Mines Using Multiple Acoustic Images and Magnetic Data," SPIE Aerospace Sensing Conference, Orlando, Florida, April 1996.
3. Shao, Jin and Tu, Dongsreng, The Jacknife and Bootstrap, Springer Verlag, New York, ©1995.
4. Efran, B. and Tibshirani, R., An Introduction to the Bootstrap, Chapman and Hall, New York, ©1993.
5. Devijver, P. A. and Kittler, J., Pattern Recognition: A Statistical Approach, Prentice-Hall International, London, ©1982.
6. Gish, H., "A Probabilistic Approach to the Understanding and training of Neural Network Classifiers," IEEE Conference on Acoustics Speech and Signal Processing, New Mexico, 1990.