Learning matrix space image representations

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

Volumn 2134, Issue , 2001, Pages 153-168

  Rangarajan, Anand ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; DISCRETE COSINE TRANSFORMS; FUNCTIONS;

BASIS FUNCTIONS; FROBENIUS NORM; JOINT OPTIMIZATION; LEARNING MATRIX; NATURAL IMAGES; NATURAL SCENES; PROJECTION COEFFICIENTS; SIMULTANEOUS ESTIMATION;

PATTERN RECOGNITION;

EID: 84958676003     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44745-8_11     Document Type: Conference Paper

References (10)

1. C. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, Oxford, 1995.
2. H. Chui and A. Rangarajan. A new algorithm for non-rigid point matching. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 44–51, 2000.
3. I. Daubechies. Ten lectures on wavelets. SIAM, 1992.
4. J. Daugman. Complete discrete 2D Gabor transforms by neural networks for image analysis and compression. IEEE Trans. Acoustics,SPe ech and Signal Proc., 7:1169–1179, July 1988.
5. G. Golub and C. Van Loan. Matrix Computations. Johns Hopkins University Press, 2nd edition, 1989.
6. M. Lewicki and B. Olshausen. Probabilistic framework for the adaptation and comparison of image codes. J. Opt. Soc. America, 16(7):1587–1601, 1999.
7. B. Olshausen and D. Field. Natural image statistics and efficient coding. Network, 7:333–339, 1996.
8. B. Olshausen and K. Millmann. Learning sparse codes with a mixture of Gaussians prior. In Advances in Neural Information Processing Systems (NIPS) 12, pages 841–847. MIT Press, Cambridge, MA, 2000.
9. K. Rao and P. Yip. Discrete Cosine Transform—Algorithms,A dvantages and Applications. Academic Press, London, UK, 1990.
10. J. Yang and C. Lu. Combined techniques of singular value decomposition and vector quantization for image coding. IEEE Trans. Image Proc., 4:1141–1146, 1995.