Hierarchical discriminant analysis for image retrieval

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 21, Issue 5, 1999, Pages 386-401

  Swets, Daniel L ^a,c   Weng, Juyang ^a,b  

^a IEEE

^b AUGUSTANA COLLEGE   (United States)

^c Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; DATA STRUCTURES; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; HIERARCHICAL SYSTEMS; IMAGE PROCESSING; THREE DIMENSIONAL;

DISCRIMINANT ANALYSIS; FACE RECOGNITION; HIERARCHICAL IMAGE DATABASE; IMAGE RETRIEVAL; PARTITIONING; PRINCIPAL COMPONENT ANALYSIS; TESSELLATION;

OBJECT RECOGNITION;

EID: 0032626206     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.765652     Document Type: Article

References (44)

1. K. Ikeuche and T. Kanade, "Automatic Generation of Object Recognition Programs," Proc. IEEE, vol. 76, no. 8, pp. 1,016-1,035, 1988.
2. W.E.L. Crimson, Object Recognition by Computer: The Role of Geometric Constraints. MIT Press, 1990.
3. D.P. Huttenlocher and S. Ullman, "Object Recognition Using Alignment," Proc. Int'l Conf. Computer Vision, pp.102-111, London, England, 1987.
4. DJ. Kriegman and J. Ponce, "On Recognizing and Positioning Curved 3-D Objects from Image Contours," IEEE Trans. Pattern Anal. Machine Intelligence, vol. 12, no. 12, pp.1,127-1,137,1990.
5. F. Stein and G. Medioni, "Efficient Two Dimensional Object Recognition," Proc. 10th Int'l Conf. Pattern Recognition, Atlantic City, 1990.
6. J. Weng, N. Ahuja, and T. S. Huang, "Learning Recognition and Segmentation Using the Cresceptron," Proc. Int'l Conf. Computer Vision, pp.121-128, Berlin, May 1993.
7. M. Turk and A. Pentland, "Eigenfaces for Rcognition," J. Cognitive Neuroscience, vol. 3, no. 1, pp.71-86,1991.
8. T. Kohonen, "Self-Organized Formation of Topologically Correct Feature Maps," Biological Cybernetics, vol. 43, pp. 59-69,1982.
9. T. Kohonen, "Self-Organized Network," Proc. IEEE, vol. 43, pp.59-69,1990.
10. T. Poggio and F. Girosi, "Networks for Approximation and Learning," Proc. IEEE, vol. 78, pp.1,481-1,497,1990.
11. E.B. Baum, "When are Ar-Nearest Neighbor and Back Propagation Accurate for Feasible Sized Sets of Examples?" Proc. EURASIP Workshop, Sezimbra, Portugal, L.B. Almedia and CJ. Wellekens, eds., pp.2-25. New York: Springer-Verlag, 1990.
12. J. Rubner and K. Schulten, "Development of Feature Detectors by Self-Organization," Biological Cybernetics., vol. 62, pp. 193-199, 1990.
13. A. Pentland, B. Moghaddam, and T. Starner, "View-Based and Modular Eigenspaces for Face Recognition," Proc. IEEE Computer Soc. Conf. Computer Vision and Pattern Recognition, pp.84-91, Seattle, Washington, June 994.
14. C. Bregler and S. M. Omohundro, "Nonlinear Manifold Learning for Visual Speech Recognition," Proc. Int'l Conf. Computer Vision, pp. 494-499,1995.
15. L. Breiman, J.H. Friedman, R.A. Olshen, and CJ. Stone, Classification and Regression Trees. Chapman & Hall, 1993.
16. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York: John Wiley & Sons, 1973.
17. A.K. Jain and R.C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, N.J.: Prentice Hall, 1988.
18. J. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, no. 1, pp.81-106,1986.
19. B.D. Ripley, Pattern Recognition and Neural Networks. New York: Cambridge Univ. Press, 1996.
20. D.J. Hand, Discrimination and Classification. Chichester: John Wiley & Sons, 1981.
21. S.S. Wilks, Math.l Statistics. New York: John Wiley & Sons, 1963.
22. K. Fukunaga, Introduction to Statistical Pattern Recognition, second edition, New York: Academic Press, 1990.
23. G.R. Dattatreya and L.N. Kanal, "Decision Tress in Pattern Recognition," Progress in Pattern Recognition, L. Kanal and A. Rosenfeld, eds., pp.189-239, New York: Elsevier Science, 1985.
24. S.R. Safavin and D. Landgrebe, "A Survey of Decision Tree Classifier Methodology," IEEE Trans. Systems, Man and Cybernetics, vol. 21, pp. 660-674, May/June 1991.
25. S.K. Murthy, "Automatic Construction of Decision Trees from Data: A Multidisciplinary Survey," Data Mining and Knowledge Discovery, 1998.
26. L. Breiman, J. Friedman, R. Olshen, and C. Stone, Classification and Regression Trees. New York: Chapman & Hall, 1993.
27. E.G. Henrichon, jr. and K.S. Fu, "A Nonparametric Multivariate Partitioning Procedure for Pattern Classification," IEEE Trans. Computers, vol. 18, pp. 614-624, July 1969.
28. J.H. Friedman, "A Recursive Partition Decision Rule for Nonparametric Classification," IEEE Trans. Computers, vol. 26, pp. 40408, Apr. 1977.
29. H. Murase and S.K. Nayar, "Illumination Planning for Object Recognition in Structured Environments," Proc. IEEE Computer Soc. Conf. Computer Vision and Pattern Recognition, pp.31-38, Seattle, Washington, June 1994.
30. D.L. Swets, B. Punch, and J.J. Weng, "Genetic Algorithms for Object Recognition in a Complex Scene," Proc., Int'l Conf. Image Processing, pp.595-598, Washington, D.C., Oct. 1995.
31. D.L. Swets and J.J. Weng, "Using Discriminant Eigenfeatures for Image Retrieval/7/EEE Trans. Pattern Analysis Machine Intelligence, vol. 18, pp. 831-836, Aug. 1996.
32. D.L. Swets and J.J. Weng, "Efficient Content-Based Image Retrieval Using Automatic Feature Selection," Proc., Int'l Symp. Computer Vision, pp.85-90, Coral Gables, Fla., Nov. 1995.
33. M. Kirby and L. Sirovich, "Application of the Karhunen-Loève procedure for the characterization of human faces," IEEE Trans. Pattern Analysis Machine Intelligence, vol. 12, pp. 103-108, Jan. 1990.
34. I.T. Jolliffe, Principal Component Analysis. New York: SpringerVerlag, 1986.
35. M.M. Loève, Probability Theory. Princeton, N.J.: Van Nostrand, 1955.
36. T. Hastie and R. Tibshirani, "Discriminant Adaptive Nearest Neighbor Classification," IEEE Trans. Pattern Analysis Machine Intelligence, vol. 18, pp. 607-616, June 1996.
37. R.A. Fisher, "The Statistical Utilization of Multiple Measurements," Annals of Eugenics, vol. 8, pp.376-386,1938.
38. D.L. Swets and J.J. Weng, "SHOSLIF-O: SHOSLIF for Object Recognition and Image Retrieval (phase II)," Technical Report CPS 95-39, Dept. of Computer Science, Michigan State Univ., East Lansing, Mich., Oct. 1995.
39. A. Pentland, R.W. Picard, and S. Scarloff, "Photobook: Tools for Content-Based Manipulation of Image Databases," SPIE Storage and Retrieval Image and Video Databases II, no. 2,185, San Jose, Feb. 1994.
40. B. Moghaddam and A. Pentland, "Maximum Liklihood Detection of Faces and Hands," Int'l Workshop Automatic Face- and GestureRecognition, M. Bichsel, éd., pp.122-128,1995.
41. J. Weng and S. Chen, "Incremental Learning for Vision-Based Navigation," Proc. Int'l Conf. Pattern Recognition, vol. IV, pp.45-49, Vienna, Austria, Aug. 1996.
42. E.E. Smith, "Categorization," Thinking, D.N. Osherson and E.E. Smith, eds., pp.33-53, MIT Press, 1990.
43. E. Rösch, C. Mervis, D. Gray, D. Johnson, and P. Boyes-Braehm, "Basic Objects in Natural Categories," Cognitive Psychology, vol. 3, pp.382-439,1976.
44. D. L. Swets, Y. Pathak, and J. J. Weng, "An Image Database System for with Support for Traditional Alphanumeric Queries and Content-Based Queries by Example," Multimedia Tools and Applications, vol. 7, no. 3,1998.