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Digital Signal Processing with Kernel Methods
book

Digital Signal Processing with Kernel Methods

by Jose Luis Rojo-Alvarez, Manel Martinez-Ramon, Jordi Munoz-Mari, Gustau Camps-Valls
February 2018
Intermediate to advanced
672 pages
22h 55m
English
Wiley-IEEE Press
Content preview from Digital Signal Processing with Kernel Methods

References

  1. Abbate, A., Koay, J., Frankel, J., Schroeder, S., and Das, P. (1997). Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 44(1), 14–26.
  2. Abe, N. and Mamitsuka, H. (1998). Query learning strategies using boosting and bagging. In J. Shavlik, editor, ICML ’98 Proceedings of the Fifteenth International Conference on Machine Learning, pages 1–9. Morgan Kaufmann, San Francisco, CA.
  3. Abrahamsen, T. J. and Hansen, L. K. (2011). A cure for variance inflation in high dimensional kernel principal component analysis. Journal of Machine Learning Research, 12, 2027–2044.
  4. Adali, T. and Liu, X. (1997). Canonical piecewise linear network for nonlinear filtering and its application to blind equalization. Signal Processing, 61(2), 145–155.
  5. Aharon, M., Elad, M., and Bruckstein, A. (2006). K‐SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 54(11), 4311–4322.
  6. Ahmed, T., Oreshkin, B., and Coates, M. (2007). Machine learning approaches to network anomaly detection. In J. Chase and I. Cohen, editors, SYSML’07 Proceedings of the 2nd USENIX Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, SYSML’07, pages 7:1–7:6. USENIX Association, Berkeley, CA.
  7. Aizerman, M. A., Braverman, E. M., and Rozoner, L. (1964). Theoretical foundations of the potential ...
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ISBN: 9781118611791Purchase Link