Use of autocorrelation kernels in kernel canonical correlation analysis for texture classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 1235-1240

  Horikawa, Yo ^a  

^a KAGAWA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS;

AUTOCORRELATION FUNCTIONS; AUTOCORRELATION KERNELS; CROSS-CORRELATION FUNCTION; GAUSSIAN KERNELS; GENERALIZATION ABILITY; KERNEL CANONICAL CORRELATION ANALYSIS; RELATIVE VALUE; TEXTURE CLASSIFICATION;

AUTOCORRELATION;

EID: 33846921465     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_192     Document Type: Article

References (16)

1. Ruiz, A., López-de-Teruel, P. E.: Nonlinear Kernel-Based Statistical Pattern Analysis. IEEE Trans. Neural Networks. 12 (2001) 16-32
2. Müller, K.-R., et al.: An Introduction to Kernel-Based Learning Algorithms. IEEE Trans. Neural Networks. 12 (2001) 181-201
3. Kim, K. I., et al.: Support Vector Machines for Texture Classification. IEEE Trans. Pattern Analysis and Machine Intelligence. 24 (2002) 1542-1550
4. Kim, K. I, et al.: Kernel Principal Component Analysis for Texture Classification. IEEE Signal Processing Letters. 8 (2001) 39-41
5. Lai, P. L., Fyfe, C.: Kernel and Nonlinear Canonical Correlation Analysis. Int. J. Neural Systems. 10 (2000) 365-377
6. Akaho, S.: A Kernel Method for Canonical Correlation Analysis. Proc. Int. Meeting on Psychometric Society (IMPS2001). (2001)
7. Bach, F. R., Jordan, M. L: Kernel Independent Component Analysis. J. Machine Learning Research. 3 (2002) 1-48
8. Kuss, M., Graepel, T.: The Geometry of Kernel Canonical Correlation Analysis. Technical Report 108. Max Plank Institute for Biological Cybernetics (2002)
9. Melzer, T., Reiter, M., Bischof, H.: Appearance Models Based on Kernel Canonical Correlation Analysis. Pattern Recognition. 36 (2003) 1961-1971
10. Hardoon, D. R., Szedmak, S., Shawe-Taylor, J.: Canonical Correlation Analysis; An Overview with Application to Learning Methods. Technical Report CSD-TR-03-02. Dept. of Computer Science, University of London (2003)
11. Popovici, V., Thiran, J. P.: Higher Order Autocorrelations for Pattern Classification. Proc. IEEE 2001 International Conference on Image Processing (ICIP 2001). (2001) 724-727
12. McLaughlin, J. A., Raviv, J.: Nth-Order Autocorrelations in Pattern Recognition. Information and Control. 12 (1968) 121-142
13. Horikawa, Y.: Comparison of Support Vector Machines with Autocorrelation Kernels for Invariant Texture Classification. Submitted to 17th Int. Conf. Pattern Recognition (ICPR 2004), to appear.
14. Scholkopf, B., Smola, A., Müller K.-R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Computation. 10 (1998) 1299-1319
15. Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover, New York (1966)
16. Randen, T., Husoøy, J. H.: Filtering for Texture Classification: A Comparative Study. IEEE Trans. Pattern Analysis and Machine Intelligence. 21 (1999) 291-310