Implicit softmax transforms for dimensionality reduction

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 1973-1976

  Tuerk, Andreas ^a  

^a TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

Author keywords

Information theory; Multidimensional signal processing; Pattern recognition

Indexed keywords

INFORMATION THEORY; INTERNATIONAL CONFERENCES; MULTIDIMENSIONAL SIGNAL PROCESSING; PATTERN RECOGNITION;

ACOUSTICS; ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SPEECH;

CLASSIFICATION (OF INFORMATION);

EID: 51449089027     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518024     Document Type: Conference Paper

References (9)

1. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," Journal of Machine Learning Re-search 3, pp. 1157-1182,2003.
2. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern classification, John Wiley & Sons, 2nd edition, 2001.
3. A. Hyvärinen, J. Karhunen, and E. Oja, Independent component analysis, Wiley Interscience, 2001.
4. Kari Torkkola and William M. Campbell, "Mutual information in learning feature transformations," in Proc. 17th International Conf. on Machine Learning. 2000, pp. 1015-1022, Morgan Kaufmann, San Francisco, CA.
5. K. Torkkola, "Learning discriminative feature transforms to low dimensions in low dimentions," in Advances in Neural Information Processing Systems. 2001, vol. 14, MIT Press.
6. K. Torkkola, "Feature extraction by non parametric mutual information maximization," The Journal of Machine Learning Research, vol. 3, pp. 1415-1438, 2003.
7. A. Asuncion and D. J. Newman, "UCI machine learning repository," 2007.
8. T. Kohonen, J. Kangas, J. Laaksonen, and K. Torkkola, "LVQPAK: A program package for the correct application of Learning Vector Quantization algorithms," in Proceedings IJCNN, 1992, vol. 1,pp. 725-730.
9. R. Collobertand S. Bengio, "SVMTorch: Support vector machines for large-scale regression problems," Journal of Machine Learning Research, vol. 1,pp. 143-160, 2001.