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REFERENCES
1. T.J. Abatzoglou and J.M. Mendel. Constrained total least squares.
Proc. ICASSP
,
pp. 1485-1488, 1987.
2. T.J. Abatzoglou, J.M. Mendel, and G.A. Harada. The constrained total least squares
technique and its application to harmonic superresolution.
IEEE Trans. Signal
Process
., 39(5):1070-1087, May 1991.
3. R.J. Adcock. A problem in least squares.
Analyst
, 5:53-54, 1878.
4. P. Baldi and K. Hornik. Neural networks and principal component analysis: learning
from examples without local minima.
Neural Netw
., 2:52-58, 1989.
5. S. Barbarossa, E. Daddio, and G. Galati. Comparison of optimum and linear predic-
tion technique for clutter cancellation.
IEE Proc. F
, 134:277-282, 1987.
6. E. Barnard. Optimization for training neural nets.
IEEE Trans. Neural Netw
.,
3(2):232-240, 1992.
7. R. Battiti. Accelerated backpropagation learning:
two optimization methods.
Complex Syst
., 3:331-342, 1989.
8. S. Beghelli, R.P. Guidorzi, and U. Soverini. Structural identification of multivariable
systems by the eigenvector method.
Int. J. Control
, 46:671-678, 1987.
9. D.S. Bernstein.
Matrix Mathematics
. Princeton University Press, Princeton, NJ,
2005.
10. C.M. Bishop.
Neural Network for Pattern Recognition
. Clarendon Press, Oxford,
UK, 1995.
11. N.K. Bose, H.C. Kim, and H.M. Valenzuela. Recursive total least squares algorithm
for image reconstruction.
Multidimens. Syst. Signal Process
., 4:253-268, 1993.
12. R. Branham. Multivariate orthogonal regression in astronomy.
Celestial Mech. Dyn.
Astron
., 61(3):239-251, Sept. 1995.
13. R.H. Byrd and J. Nocedal. A tool for the analysis of quasi-Newton methods with
application to unconstrained minimization.
SIAM J. Numer. Anal
., 26(3):727-739,
June 1989.
14. F. Chatelin.
Eigenvalues of Matrices
. Wiley, New York, 1993.
15. Y. Chauvin. Principal component analysis by gradient descent on a constrained
linear Hebbian cell.
Proceedings of the IEEE International Conference on Neural
Networks
, Washington, DC, Vol. I, pp. 373-380. IEEE Press, New York, 1989.
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