An Evaluation of Intrinsic Dimensionality Estimators

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 17, Issue 1, 1995, Pages 81-86

  Verveer, Peter J ^a,b   Duin, Robert P W ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b MAX PLANCK INSTITUTE FOR BIOPHYSICAL CHEMISTRY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFIERS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; TOPOLOGY; VECTORS;

COVARIANCE MATRIX; INTRINSIC DIMENSIONALITY ESTIMATORS;

PATTERN RECOGNITION;

EID: 0029208642     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.368147     Document Type: Article

References (14)

1. T.J. Sejnowski and C.R. Rosenberg, “NETtalk: a parallel network that learns to read aloud,” The John Hopkins University Electrical Engineering and Comp. Science, Technical Report JHU/EECS-86/01, 1986, Reprinted in J.A. Anderson and E. Rosenfeld, Neurocomputing: Foundations of Research, MIT Press, Cambridge, 1988.
2. D.A. Pomerleau, “ALVINN: an autonomous land vehicle in a neural network,” Advances in neural information processing systems, ed Touretzky, Morgan, Kaufman Publishers, San Mateo, pp. 305-331, 1989.
3. B.A. Golomb, D.T. Lawrence and T.J. Sejnowski, “Sexnet: a neural network identifies sex from human faces,” Advances in neural information processing systems, ed. Lippman, Moody and Touretzky, Morgan, Kaufman Publishers, San Mateo, pp. 575-577, 1991.
4. S.I. Kamata, R.O. Eason, A. Perez and E. Kawaguchi, “A neural network classifier for LANDSAT image data,” Proceedings 11th IAPR International Conference on Pattern Recognition, Volume II, Conference B: Pattern Recognition Methodology and Systems (ICPR11, The Hague, The Netherlands, August 30-September 3, 1992), IEEE Computer Society Press, Los Alamitos, California, pp. 573-576, 1992.
5. R.P.W. Duin, “Superlearning capabilities of neural networks?,” Proc. of the 8th Scandinavian Conference on Image Analysis, NOBIM, Norwegian Society for Image Processing and Pattern Recognition, Tromsø, Norway, pp. 547-554, 1993
6. R.S. Bennet, “The intrinsic dimensionality of signal collections,” IEEE Trans. Inform. Theory, vol. IT-15, pp. 517-525, 1969
7. G.V. Trunk, “Statistical estimation of the intrinsic dimensionality of a noisy signal collection,” IEEE Trans. Comp., vol. C-25, pp. 165-171, 1976
8. R.C. Dubes and A.K. Jain, Algorithms for clustering data, Prentice Hall, 1988
9. N. Wyse, R. Dubes and A.K. Jain, “A critical evaluation of intrinsic dimensionality algorithms,” Pattern Recognition in Practice, ed Gelsema, E.S. and Kanal, L.N., North-Holland Publishing Company, pp. 415-425, 1980
10. K. Fukunaga and D.R. Olsen, “An algorithm for finding intrinsic dimensionality of data,” IEEE Trans. Comp., vol. C-20, pp. 176-183, 1971
11. K.W. Pettis, T.A. Bailey, A.K. Jain and R.C. Dubes, “An intrinsic dimensionality estimator from near-neighbor information,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-1, pp. 25-37, 1979
12. K. Fukunaga, Introduction to statistical pattern recognition, Academic press, 1972
13. P.J. Verveer and R.P.W Duin, “Estimators for the intrinsic dimensionality evaluated and applied,” Delft University of Technology, Faculty of Applied Physics, Pattern Recognition Group, Technical Report, 1993
14. Ph.A. Errington and J. Graham, “Application of artificial neural networks to chromosome classification,” Cytometry, vol. 14, pp. 627-639, 1993