Special issue on advances in kernel-based learning for signal processing [from the guest editors]

IEEE Signal Processing Magazine

Volumn 30, Issue 4, 2013, Pages 14-15

  Muller, Klaus Robert ^a   Adali, Tulay ^a   Fukumizu, Kenji ^a   Principe, Jose C ^a   Theodoridis, Sergios ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85032752193     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2013.2253031     Document Type: Editorial

References (10)

1. E. Parzen, "Statistical inference on time series by Hilbert space methods, " Stat. Dept., Stanford Univ., CA, Tech. Rep. 23, 1959.
2. T. Kailath, "RKHS approach to detection and estimation problems-Part I: Deterministic signals in Gaussian noise, " IEEE Trans. Inform. Theory, vol. IT-17, no. 5, pp. 530-549, Sept. 1971.
3. T. Kailath and D. Duttweiler, "An RKHS approach to detection and estimation problems-Part III: Generalized innovations representations and a likelihoodratio formula, " IEEE Trans. Inform. Theory, vol. IT-18, no. 6, pp. 30-45, Nov. 1972.
4. T. Kailath and H. Weinert, "An RKHS approach to detection and estimation problems-Part II: Gaussian signal detection, " IEEE Trans. Inform. Theory, vol. IT-21, no. 1, pp. 15-23, Jan. 1975.
5. R. DeFigueiredo, "A generalized Fock space framework for nonlinear system and signal analysis, " IEEE Trans. Circuits Syst., vol. CAS-30, no. 9, pp. 637-647, Sept. 1983.
6. C. Cortes and V. N. Vapnik, "Support vector networks, " Mach. Learn., vol. 20, no. 3, pp. 273-297, 1995.
7. B. Schölkopf, A. Smola, and K. R. Müller, "Nonlinear component analysis as a kernel eigenvalue problem, " Neural Comput., vol. 10, no. 5, pp. 1299-1319, 1998.
8. A. J. Smola, B. Schölkopf, and K.-R. Müller, "The connection between regularization operators and support vector kernels, " Neural Netw., vol. 11, no. 4, pp. 637-649, 1998.
9. B. Schölkopf, S. Mika, C. J. C. Burges, P. Knirsch, K.-R. Müller, G. Rätsch, and A. J. Smola, "Input space versus feature space in kernel-based methods, " IEEE Trans. Neural Networks, vol. 10, no. 5, pp. 1000-1017, Sept. 1999.
10. B. E. Boser, I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers, " in Proc. 5th Ann. ACM Workshop on Computational Learning Theory, 1992, pp. 144-152.