Learning to recognize volcanoes on Venus

Machine Learning

Volumn 30, Issue 2-3, 1998, Pages 165-194

  Burl, Michael C ^a,b   Asker, Lars ^a,c   Smyth, Padhraic ^a,d   Fayyad, Usama ^a,e   Perona, Pietro ^f   Crumpler, Larry ^g   Aubele, Jayne ^g  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c STOCKHOLM UNIVERSITY   (Sweden)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e MICROSOFT RESEARCH   (United States)

^f UNIVERSITY OF PADOVA   (Italy)

^g BROWN UNIVERSITY   (United States)

Author keywords

Automatic cataloging; Data mining; Detection of natural objects; JARtool; Large image databases; Learning from examples; Machine learning; Magellan SAR; Pattern recognition; Principal components analysis; Trainable; Venus; Volcanoes

Indexed keywords

DATABASE SYSTEMS; IMAGE ANALYSIS; PATTERN RECOGNITION; PLANETS; SYNTHETIC APERTURE RADAR; VOLCANOES; DATA ACQUISITION; DATA MINING; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; SENSORS;

AUTOMATIC CATALOGING; VENUS;

LEARNING SYSTEMS;

AUTOMATIC CATALOGING; DETECTION OF NATURAL OBJECTS; JARTOOL; LARGE IMAGE DATABASES; LEARNING FROM EXAMPLES; MAGELLAN SAR; TRAINABLE; VENUS;

EID: 0032003541     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1007400206189     Document Type: Article

References (45)

1. Asker, L. & Maclin, R. (1997a). Ensembles as a sequence of classifiers. Fifteenth International Joint Conference on Artificial Intelligence.
2. Asker, L. & Maclin, R. (1997b). Achieving expert performance on real-world problems using machine learning. Fourteenth International Conference on Machine Learning.
3. Aubele, J.C. & Slyuta, E. N. (1990). Small domes on Venus: characteristics and origins. Earth, Moon and Planets, 50/51:493-532.
4. Baldi, P. (1994). Personal communication.
5. Brodley, C.E. & Smyth, P. (1997). Applying classification algorithms in practice. Statistics and Computing.
6. Bunch, P.C., Hamilton, J.F., Sanderson, G.K. & Simmons, A.H. (1978). A free-response approach to the measurement and characterization of radiographic-observer performance. J. Appl. Photo. Eng., 4(4):166-171.
7. Burl, M.C., Fayyad, U.M., Perona, P., Smyth, P. & Burl, M.P. (1994a). Automating the hunt for volcanoes on Venus. Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 302-309). Los Alamitos, CA:IEEE Computer Society Press.
8. Burl, M.C., Fayyad, U.M., Perona, P. & Smyth, P. (1994b). Automated analysis of radar imagery of Venus: handling lack of ground truth. IEEE International Conference on Image Processing, volume III, pp. 236-240.
9. Burl, M.C., Fayyad, U.M., Perona, P. & Smyth, P. (1996). Trainable cataloging for digital image libraries with applications to volcano detection. (Technical Report CNS-TR-96-01). Pasadena, CA: California Institute of Technology, Dept. of CNS.
10. Chakraborty, D.P. & Winter, L.H.L. (1990). Free-response methodology: alternate analysis and a new observer-performance experiment. Radiology, 174:873-881.
11. Cherkauer, K. (1996). Personal communication.
12. Chesters, M.S. (1992). Human visual perception and ROC methodology in medical imaging. Physics in Medicine and Biology 37(7):1433-1476.
13. Cooke, R.M. (1991). Experts in Uncertainty. New York, NY: Oxford University Press.
14. Cross, A.M. (1988). Detection of circular geological features using the Hough transform. International Journal of Remote Sensing, 9(9):1519-1528.
15. Crumpler, L.S., Aubele, J.C., Senske, D.A., Keddie, S.T., Magee, K.P. & Head, J.W. (1997). Volcanoes and centers of volcanism on Venus. In S. W. Bougher, D. M. Hunten, and R. J. Phillips, (Ed.), Venus II. University of Arizona Press.
16. Duda, R.O. & Hart, P.E. (1973). Pattern Classification and Scene Analysis. New York, NY:John Wiley and Sons, New York.
17. Fayyad, U.M., Smyth, P., Burl, M.C. & Perona, P. (1996). A learning approach to object recognition: applications in science image analysis. In S. Nayar and T. Poggio, (Ed.), Early Visual Learning. New York, NY:Oxford University Press.
18. Flickner, M., Sawhney, H., Niblack, W., Ashley, J., Huang, Q., Dom, B., Gorkani, M., Hafner, J., Lee, D. et al. (1995). Query by image and video content - the QBIC system. Computer, 28(9):23-32.
19. Fukunaga, K. (1990). Introduction to Statistical Pattern Recognition. Second Edition, Academic Press.
20. Green, D.M. & Swets, J.A. (1966). Signal Detection Theory and Psychophysics. New York:Wiley.
21. Guest, J.E., Bulmer, M.H., Aubele, J., Beratan, K., Greeley, R., Head, J., Michaels, G., Weitz, C. & Wiles, C. (1992). Small volcanic edifices and volcanism in the plains of Venus. Journal of Geophysical Research Planets, 97(E10):15949-15966.
22. Kubat, M., Holte, R. & Matwin, S. (1998). Machine learning for the detection of oil spills in satellite radar images. Machine Learning, 30, 195-215.
23. Langley, P. & Simon, H.A. (1995). Applications of machine learning and rule induction. Communications of the ACM, 38(11):55-64.
24. MacMillan, N.A. & Creelman, C.D. (1991). Signal Detection Theory: A User's Guide. New York:Cambridge Univesity Press.
25. Mendel, E., et al. (1997). SAOimage: the next generation. Smithsonian Astrophysical Society, version 1.7.
26. Moghaddam, B. & Pentland, A. (1995). Maximum likelihood detection of faces and hands. International Workshop on Automatic Face and Gesture Recognition (pp. 122-128). Zurich, Switzerland.
27. Pentland, A., Picard, R.W. & Sclaroff, S. (1996). Photobook - content-based manipulation of image databases. International Journal of Computer Vision, 18(3):233-254.
28. Pettengill, G.H., Ford, P.G., Johnson, W.T.K., Raney, R.K. & Soderblom, L.A. (1991). Magellan: Radar Performance and Data Products. Science, 252:260-265.
29. Picard, R.W. & Pentland, A.P. (1996). Introduction to the special section on digital libraries: representation and retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(8):769-853.
30. Poulton, E.C. (1994). Behavioral Decision Theory: A New Approach. New York, NY:Cambridge University Press.
31. Provost, F. & Fawcett, T. (1997). Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (pp. 43-48). Newport Beach, CA:AAAI Press.
32. Richards, J.A. (1986). Remote Sensing for Digital Image Analysis. Berlin:Springer-Verlag.
33. Saunders, R.S., Spear, A.J., Allin, P.C., Austin, R.S., Berman, A.L., Chandlee, R.C., Clark, J., Decharon, A.V. & Dejong, E.M. (1992). Magellan Mission Summary. Journal of Geophysical Research Planets, 97(E8):13067-13090.
34. Simard, P., le Cun, Y. & Denker, J. (1993). Efficient pattern recognition using a new transformation distance. Advances in Neural Information Processing Systems 5 (pp. 50-58).
35. Sirovich, L. & Kirby, M. (1987). Low dimensional procedure for the characterization of human faces. Journal of Optical Society of America, 4(3):519-524.
36. Skingley, J. & Rye, A.J. (1987). The Hough transform applied to SAR images for thin line detection. Pattern Recognition Letters, 6:61-67.
37. Spackman, K.A. (1989). Signal detection theory: valuable tools for evaluating inductive learning. Proceedings of the Sixth International Workshop on Machine Learning (pp. 160-163). San Mateo, CA:Morgan Kaufman.
38. Stofan, E.R., Sharpton, V.L., Schubert, G., Baer, G., Bindschadler, D.L., Janes, D.M. & Squyres, S.W. (1992). Global distribution and characteristics of coronae and related features on Venus - Implications for origin and relation to mantle processes. Journal of Geophysical Research Planets, 97(E8):13347-13378.
39. Stonebraker, M. & Kemnitz, G. (1991). The POSTGRES next generation database-management system. Communications of the ACM 34(10):78-92.
40. Stough, T. & Brodley, C. (1997). Image feature reduction through spoiling: its application to multiple matched filters for focus of attention. Proceedings of the Third Annual Conference on Knowledge Discovery and Data Mining (pp. 255-259). Newport Beach, CA:AAAI Press
41. Swets, D.L. & Weng, J. (1996). Using discriminant eigenfeatures for image retrieval. Pattern Analysis and Machine Intelligence, 18(8):831-836.
42. Treitel, S. & Shanks, J. (1971). The design of multistage separable planar filters. IEEE Transactions on Geoscience and Electronics, 9(1):10-27.
43. Turk, M. & Pentland, A. (1991). Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86.
44. Turmon, M. (1996). Personal communication.
45. Wiles, C.R. & Forshaw, M.R.B. (1993). Recognition of volcanoes using correlation methods. Image and Vision Computing, 11(4):188-196.