Visual learning of patterns and objects

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 27, Issue 6, 1997, Pages 907-917

  Bischof, Walter F ^a   Caelli, Terry ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; PATTERN RECOGNITION SYSTEMS; THREE DIMENSIONAL COMPUTER GRAPHICS;

CONDITIONAL RULE GENERATION (CRG); EVIDENCE BASED SYSTEMS (EBS); RELATIONAL STRUCTURE REPRESENTATIONS;

OBJECT RECOGNITION;

EID: 0031373549     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.650053     Document Type: Article

References (28)

1. P. Flynn and A. K. Jain, "Three-dimensional object recognition," in Handbook of Pattern Recognition and Image Processing, Vol. 2: Computer Vision, T. Y. Young, Ed. New York: Academic, 1993.
2. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
3. D. Ballard and C. Brown, Computer Vision. Englewood Cliffs, NJ: Prentice-Hall, 1982.
4. L. Shapiro and R. Haralick, "Structural descriptions and inexact matching," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-3, pp. 504-519, 1981.
5. R. E. Tarjan and A. E. Trojanowski, "Finding a maximum independent set," SIAM J. Comput., vol. 6, pp. 537-546, 1977.
6. W. E. L. Grimson, Object Recognition by Computer. Cambridge, MA: MIT Press, 1990.
7. P. Flynn and A. K. Jain, "3-D object recognition using invariant feature indexing of interpretation tables," Comput. Vision, Graph., Image Processing, vol. 55, pp. 119-129, 1992.
8. A. K. Jain and D. Hoffman, "Evidence-based recognition of objects," IEEE Trans. Pattern Anal. Machine Intell., vol. 10, pp. 783-802, 1988.
9. T. Caelli and A. Pennington, "An improved rule generation method for evidence-based classification systems," Pattern Recognit., vol. 26, pp. 733-740, 1993.
10. T. Poggio, "Networks for approximation and learning," Proc. IEEE, vol. 78, pp. 1481-1497, 1990.
11. K. Ikeuchi and T. Kanade, "Automatic generation of object recognition programs," Proc. IEEE, vol. 76, pp. 1016-1035, 1988.
12. R. C. Bolles and P. Horaud, "A three-dimensional part orientation system," Int. J. Robot. Res., vol. 5, pp. 3-26, 1986.
13. M. A. Fischler and R. A. Elschlager, "The representation and matching of pictorial structures," IEEE Trans. Comput., vol. C-22, pp. 67-92, 1973.
14. R. Mohan and R. Nevatia, "Using perceptual organization to extract 3-D structures," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 1121-1139, 1989.
15. D. G. Lowe, "Three-dimensional object recognition from single two-dimensional images," Artif. Intell., vol. 31, pp. 355-395, 1987.
16. R. Michalski and R. E. Stepp, "Automated construction of classifications: Conceptual clustering versus numerical taxonomy," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-5, pp. 396-409, 1983.
17. K. C. C. Chan, A. K. Wong, and D. K. Y. Chiu, "Learning sequential patterns for probabilistic inductive prediction," IEEE Trans. Syst., Man, Cybern., vol. 24, pp. 1532-1547, 1994.
18. R. S. Michalski, "A theory and methodology of inductive learning," in Readings in Machine Learning, J. W. Shavlik and T. G. Dietterich, Eds. San Mateo, CA: Morgan Kaufmann, 1990.
19. U. Fayyad and K. Irani, "On the handling of continuous-valued attributes in decision tree generation," Mach. Learn., vol. 8, pp. 87-102, 1992.
20. D. Wolpert, "Stacked generalization," Neural Networks, vol. 5, pp. 241-259, 1992.
21. A. Pearce, T. Caelli, and W. F. Bischof, "Rulegraphs for graph matching in pattern recognition," Pattern Recognit., vol. 27, pp. 1231-1248, 1994.
22. T. Caelli and A. Dreier, "Variations on the evidenced-based object recognition theme," Pattern Recognit., vol. 27, pp. 185-204, 1994.
23. A. Rosenfeld and A. Kak, Digital Picture Processing. New York: Academic, 1982.
24. A. K. Jain and R. C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, NJ: Prentice-Hall, 1988.
25. J. R. Quinlan, C4.5 Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann, 1993.
26. _, "Induction of decision trees," Mach. Learn., vol. 1, pp. 81-106, 1986.
27. _, "Learning logical definitions from relations," Mach. Learn., vol. 5, pp. 239-266, 1990.
28. S. Muggleton and W. Buntine, "Machine invention of first-order predicates by inverting resolution," in Proc. 5th Int. Conf. Machine Learning, 1988, pp. 339-352.