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ORCIDSimone G. O. Fiori
Person information
- affiliation: Marche Polytechnic University, Ancona, Italy
- affiliation (former): University of Perugia, Italy
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2020 – today
- 2024
[j84]Simone G. O. Fiori
:
Lie-group modeling and simulation of a spherical robot, actuated by a yoke-pendulum system, rolling over a flat surface without slipping. Robotics Auton. Syst. 175: 104660 (2024)- 2023
- [j83]Simone G. O. Fiori, Luca Ciaramicoli, Giovanni Berluti:
Maximum Convergence Rate Control of a Switched Electrical Network with Symmetries. Symmetry 15(10): 1861 (2023) - 2022
- [j82]Luca Bigelli, Federico Polenta, Simone G. O. Fiori:
Virtual Attractive-Repulsive Potentials Control Theory: A Review and an Extension to Riemannian Manifolds. Symmetry 14(2): 257 (2022) - [j81]Simone G. O. Fiori:
Manifold Calculus in System Theory and Control - Second Order Structures and Systems. Symmetry 14(6): 1144 (2022) - 2021
- [j80]Simone G. O. Fiori:
Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis. Comput. 9(7): 76 (2021) - [j79]Simone G. O. Fiori:
Extension of PID Regulators to Dynamical Systems on Smooth Manifolds (M-PID). SIAM J. Control. Optim. 59(1): 78-102 (2021) - [j78]Simone G. O. Fiori:
Manifold Calculus in System Theory and Control - Fundamentals and First-Order Systems. Symmetry 13(11): 2092 (2021) - 2020
- [j77]Alkis Koudounas, Simone G. O. Fiori:
Gradient-based Learning Methods Extended to Smooth Manifolds Applied to Automated Clustering. J. Artif. Intell. Res. 68: 777-816 (2020) - [j76]Simone G. O. Fiori:
A Control-Theoretic Approach to the Synchronization of Second-Order Continuous-Time Dynamical Systems on Real Connected Riemannian Manifolds. SIAM J. Control. Optim. 58(2): 787-813 (2020)
2010 – 2019
- 2019
- [j75]Simone G. O. Fiori, Andrea Vitali:
Statistical Modeling of Trivariate Static Systems: Isotonic Models. Data 4(1): 17 (2019) - [j74]Simone G. O. Fiori:
A comprehensive comparison of algorithms for the statistical modelling of non-monotone relationships via isotonic regression of transformed data. Int. J. Data Anal. Tech. Strateg. 11(1): 29-57 (2019) - [j73]Sebastian Nicolas Giles, Simone G. O. Fiori:
Glomerular Filtration Rate Estimation by a Novel Numerical Binning-Less Isotonic Statistical Bivariate Numerical Modeling Method. Inf. 10(3): 100 (2019) - [j72]Simone G. O. Fiori:
A Closed-Form Expression of the Instantaneous Rotational Lurch Index to Evaluate Its Numerical Approximation. Symmetry 11(10): 1208 (2019) - 2018
- [j71]Andrea Civita, Simone G. O. Fiori, Giuseppe Romani:
A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment. Inf. 9(12): 321 (2018) - [j70]Simone G. O. Fiori, Nicola Fioranelli:
Smooth statistical modeling of bivariate non-monotonic data by a three-stage LUT neural system. Neural Comput. Appl. 30(4): 1353-1368 (2018) - [i3]Tomoya Wada, Kosuke Fukumori, Toshihisa Tanaka, Simone G. O. Fiori:
Generalized Gaussian Kernel Adaptive Filtering. CoRR abs/1804.09348 (2018) - 2017
- [j69]Simone G. O. Fiori:
Nonlinear damped oscillators on Riemannian manifolds: Numerical simulation. Commun. Nonlinear Sci. Numer. Simul. 47: 207-222 (2017) - [j68]Simone G. O. Fiori, Ruben Di Filippo:
An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling. Entropy 19(12): 665 (2017) - [j67]Takashi Uehara, Matteo Sartori, Toshihisa Tanaka, Simone G. O. Fiori:
Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces. Neural Comput. 29(6): 1631-1666 (2017) - 2016
- [j66]Simone G. O. Fiori:
A Riemannian steepest descent approach over the inhomogeneous symplectic group: Application to the averaging of linear optical systems. Appl. Math. Comput. 283: 251-264 (2016) - [j65]Simone G. O. Fiori:
Nonlinear damped oscillators on Riemannian manifolds: Fundamentals. J. Syst. Sci. Complex. 29(1): 22-40 (2016) - 2015
- [j64]Simone G. O. Fiori:
Kolmogoroff-Nagumo mean over the affine symplectic group of matrices. Appl. Math. Comput. 266: 820-837 (2015) - [j63]Simone G. O. Fiori, Tianxia Gong, Hwee Kuan Lee:
Bivariate Nonisotonic Statistical Regression by a Lookup Table Neural System. Cogn. Comput. 7(6): 715-730 (2015) - [j62]Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka:
Tangent-Bundle Maps on the Grassmann Manifold: Application to Empirical Arithmetic Averaging. IEEE Trans. Signal Process. 63(1): 155-168 (2015) - [i2]Andrea Civita, Simone G. O. Fiori, Giuseppe Romani:
A Smartphone-Based Acquisition System for Hips Rotation Fluency Assessment. CoRR abs/1512.01260 (2015) - 2014
- [j61]Simone G. O. Fiori:
A two-dimensional Poisson equation formulation of non-parametric statistical non-linear modeling. Comput. Math. Appl. 67(5): 1171-1185 (2014) - [j60]Simone G. O. Fiori:
Auto-Regressive Moving Average Models on Complex-Valued Matrix Lie Groups. Circuits Syst. Signal Process. 33(8): 2449-2473 (2014) - [c43]Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka:
Mixed maps for learning a Kolmogoroff-Nagumo-type average element on the compact Stiefel manifold. ICASSP 2014: 4518-4522 - 2013
- [j59]Simone G. O. Fiori:
An isotonic trivariate statistical regression method. Adv. Data Anal. Classif. 7(2): 209-235 (2013) - [j58]Simone G. O. Fiori:
Fast statistical regression in presence of a dominant independent variable. Neural Comput. Appl. 22(7-8): 1367-1378 (2013) - [j57]Tetsuya Kaneko, Simone G. O. Fiori, Toshihisa Tanaka:
Empirical Arithmetic Averaging Over the Compact Stiefel Manifold. IEEE Trans. Signal Process. 61(4): 883-894 (2013) - [c42]Simone G. O. Fiori:
Random Clouds on Matrix Lie Groups. GSI 2013: 702-709 - [i1]Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka:
Mixed Maps for Kolmogoroff-Nagumo-Type Averaging on the Compact Stiefel Manifold. CoRR abs/1303.1748 (2013) - 2012
- [j56]Simone G. O. Fiori:
Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects. IEEE Trans. Neural Networks Learn. Syst. 23(1): 7-21 (2012) - [c41]Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka:
A comparison of two algorithmic recipes to parametrize rectangular orthogonal matrices. APSIPA 2012: 1-6 - [c40]Tetsuya Kaneko, Toshihisa Tanaka, Simone G. O. Fiori:
A method to compute averages over the compact Stiefel manifold. ICASSP 2012: 3829-3832 - [c39]Simone G. O. Fiori, Tetsuya Kaneko, Toshihisa Tanaka:
Learning on the compact Stiefel manifold by a cayley-transform-based pseudo-retraction map. IJCNN 2012: 1-8 - 2011
- [j55]Simone G. O. Fiori:
Visualization of Riemannian-manifold-valued elements by multidimensional scaling. Neurocomputing 74(6): 983-992 (2011) - [j54]Simone G. O. Fiori:
Solving Minimal-Distance Problems over the Manifold of Real-Symplectic Matrices. SIAM J. Matrix Anal. Appl. 32(3): 938-968 (2011) - [j53]Simone G. O. Fiori:
Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects. IEEE Trans. Neural Networks 22(5): 687-700 (2011) - [j52]Simone G. O. Fiori:
Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere. IEEE Trans. Neural Networks 22(12): 2132-2138 (2011) - [c38]Simone G. O. Fiori:
Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks. ICONIP (3) 2011: 365-372 - 2010
- [j51]Simone G. O. Fiori:
Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds. IEEE Trans. Neural Networks 21(5): 841-852 (2010) - [c37]Simone G. O. Fiori:
A pseudo-Riemannian-gradient approach to the least-squares problem on the real symplectic group. ICASSP 2010: 1954-1957 - [c36]Simone G. O. Fiori:
A Closed-Form Solution to the Problem of Averaging over the Lie Group of Special Orthogonal Matrices. ISNN (1) 2010: 185-192
2000 – 2009
- 2009
- [j50]Simone G. O. Fiori:
Learning the Fréchet Mean over the Manifold of Symmetric Positive-Definite Matrices. Cogn. Comput. 1(4): 279-291 (2009) - [j49]Simone G. O. Fiori:
On vector averaging over the unit hypersphere. Digit. Signal Process. 19(4): 715-725 (2009) - [j48]Simone G. O. Fiori:
Computation of the Frechet mean, variance and interpolation for a pool of neural networks over the manifold of special orthogonal matrices. Int. J. Comput. Intell. Stud. 1(1): 50-71 (2009) - [j47]Simone G. O. Fiori, Toshihisa Tanaka:
An algorithm to compute averages on matrix Lie groups. IEEE Trans. Signal Process. 57(12): 4734-4743 (2009) - [c35]Simone G. O. Fiori, Toshihisa Tanaka:
Learning averages over the lie group of symmetric positive-definite matrices. IJCNN 2009: 828-832 - [c34]Simone G. O. Fiori:
Learning averages over the lie group of unitary matrices. IJCNN 2009: 833-837 - [c33]Simone G. O. Fiori, Toshihisa Tanaka:
Learning-machines-committee Averages over the Unitary Group of Matrices. ISCAS 2009: 2777-2781 - 2008
- [j46]Simone G. O. Fiori:
Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm. Comput. Intell. Neurosci. 2008 (2008) - [j45]Simone G. O. Fiori:
Learning by Criterion Optimization on a Unitary Unimodular Matrix Group. Int. J. Neural Syst. 18(2): 87-103 (2008) - [j44]Simone G. O. Fiori:
Leap-frog-type learning algorithms over the Lie group of unitary matrices. Neurocomputing 71(10-12): 2224-2244 (2008) - [j43]Amir Hussain, Simone G. O. Fiori, Ijaz Mansoor Qureshi, Tariq S. Durrani, Muhammad Mansoor Ahmed, K. Fukushima:
Engineering of intelligent systems (ICEIS 2006). Neurocomputing 71(13-15): 2616-2618 (2008) - [j42]Elena Celledoni, Simone G. O. Fiori:
Descent methods for optimization on homogeneous manifolds. Math. Comput. Simul. 79(4): 1298-1323 (2008) - [j41]Simone G. O. Fiori:
A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3). Neural Comput. 20(4): 1091-1117 (2008) - [j40]Simone G. O. Fiori:
Lie-group-type neural system learning by manifold retractions. Neural Networks 21(10): 1524-1529 (2008) - [j39]Simone G. O. Fiori:
Geodesic-based and projection-based neural blind deconvolution algorithms. Signal Process. 88(3): 521-538 (2008) - [c32]Simone G. O. Fiori:
Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks. IJCNN 2008: 1787-1792 - [c31]Simone G. O. Fiori:
Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm. IJCNN 2008: 1801-1806 - [c30]Simone G. O. Fiori, Toshihisa Tanaka:
An averaging method for a committee of special-orthogonal-group machines. ISCAS 2008: 2170-2173 - 2007
- [j38]Simone G. O. Fiori:
Neural Systems with Numerically Matched Input-Output Statistic: Isotonic Bivariate Statistical Modeling. Comput. Intell. Neurosci. 2007 (2007) - [j37]Simone G. O. Fiori:
Learning independent components on the orthogonal group of matrices by retractions. Neural Process. Lett. 25(3): 187-198 (2007) - [c29]Simone G. O. Fiori:
Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices. ICANN (1) 2007: 858-863 - [c28]Toshihisa Tanaka, Simone G. O. Fiori:
Least Squares Approximate Joint Diagonalization on the Orthogonal Group. ICASSP (2) 2007: 649-652 - [c27]Simone G. O. Fiori:
Neural Learning by Retractions on Manifolds. ISCAS 2007: 1293-1296 - 2006
- [j36]Simone G. O. Fiori:
Fixed-point neural independent component analysis algorithms on the orthogonal group. Future Gener. Comput. Syst. 22(4): 430-440 (2006) - [j35]Simone G. O. Fiori:
Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation. Neural Process. Lett. 23(2): 143-170 (2006) - [j34]Simone G. O. Fiori:
Blind adaptation of stable discrete-time IIR filters in state-space form. IEEE Trans. Signal Process. 54(7): 2596-2605 (2006) - [c26]Toshihisa Tanaka, Simone G. O. Fiori:
Simultaneous Tracking of the Best Basis in Reduced-Rank Wiener Filter. ICASSP (3) 2006: 548-551 - 2005
- [j33]Simone G. O. Fiori, Shun-ichi Amari:
Geometrical methods in neural networks and learning. Neurocomputing 67: 1-7 (2005) - [j32]Simone G. O. Fiori:
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial. J. Mach. Learn. Res. 6: 743-781 (2005) - [j31]Simone G. O. Fiori:
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay. Neural Comput. 17(4): 779-838 (2005) - [j30]Simone G. O. Fiori:
Formulation and integration of learning differential equations on the stiefel manifold. IEEE Trans. Neural Networks 16(6): 1697-1701 (2005) - 2004
- [j29]Simone G. O. Fiori:
Relative uncertainty learning theory: an essay. Int. J. Neural Syst. 14(5): 293-311 (2004) - [j28]Simone G. O. Fiori, Pietro Burrascano:
One-unit 'rigid-bodies' learning rule for principal/independent component analysis with application to ECT-NDE signal processing. Neurocomputing 56: 233-255 (2004) - [j27]Simone G. O. Fiori:
Analysis of modified "Bussgang" algorithms (MBAs) for channel equalization. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(8): 1552-1560 (2004) - [j26]Simone G. O. Fiori:
Fast fixed-point neural blind-deconvolution algorithm. IEEE Trans. Neural Networks 15(2): 455-459 (2004) - [c25]Simone G. O. Fiori, Nicoletta Del Buono, Tiziano Politi:
Optical Flow Estimation via Neural Singular Value Decomposition Learning. ICCSA (2) 2004: 961-970 - 2003
- [j25]Simone G. O. Fiori:
Singular Value Decomposition Learning on Double Stiefel Manifold. Int. J. Neural Syst. 13(3): 155-170 (2003) - [j24]Simone G. O. Fiori, Roberto Rossi:
Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA. Int. J. Neural Syst. 13(5): 273-290 (2003) - [j23]Luciano Albini, Pietro Burrascano, Simone G. O. Fiori:
A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis. Neurocomputing 55(3-4): 451-468 (2003) - [j22]Simone G. O. Fiori:
Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons. Neural Comput. 15(12): 2909-2929 (2003) - [j21]Simone G. O. Fiori:
Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing. Neural Networks 16(3-4): 453-467 (2003) - [j20]Simone G. O. Fiori:
Neural independent component analysis by "maximum-mismatch" learning principle. Neural Networks 16(8): 1201-1221 (2003) - [j19]Ze Wang, Yin Lee, Simone G. O. Fiori, Andrew Chi-Sing Leung, Yisheng Zhu:
An improved sequential method for principal component analysis. Pattern Recognit. Lett. 24(9-10): 1409-1415 (2003) - [j18]Simone G. O. Fiori:
Nonsymmetric PDF estimation by artificial neurons: application to statistical characterization of reinforced composites. IEEE Trans. Neural Networks 14(4): 959-962 (2003) - 2002
- [j17]Simone G. O. Fiori:
Notes on cost functions and estimators for 'Bussgang' adaptive blind equalization. Eur. Trans. Telecommun. 13(6): 631-634 (2002) - [j16]Simone G. O. Fiori:
Unsupervised Neural Learning on Lie Group. Int. J. Neural Syst. 12(3-4): 219-246 (2002) - [j15]Simone G. O. Fiori:
A Minor Subspace Algorithm Based on Neural Stiefel Dynamics. Int. J. Neural Syst. 12(5): 339-350 (2002) - [j14]Simone G. O. Fiori:
Blind deconvolution by simple adaptive activation function neuron. Neurocomputing 48(1-4): 763-778 (2002) - [j13]Simone G. O. Fiori:
Notes on Bell-Sejnowski PDF-Matching Neuron. Neural Comput. 14(12): 2847-2856 (2002) - [j12]Simone G. O. Fiori:
Hybrid independent component analysis by adaptive LUT activation function neurons. Neural Networks 15(1): 85-94 (2002) - [j11]Simone G. O. Fiori:
Complex Weighted One Unit 8216 Rigid Bodies 8217 Learning Rule for Independent Component Analysis. Neural Process. Lett. 15(3): 275-282 (2002) - [j10]Simone G. O. Fiori:
A theory for learning based on rigid bodies dynamics. IEEE Trans. Neural Networks 13(3): 521-531 (2002) - [c24]Simone G. O. Fiori, Pietro Burrascano:
Nonsymmetric PDF approximation by artificial neurons: application to statistical characterization of reinforced composites. ISCAS (3) 2002: 109-112 - [c23]Simone G. O. Fiori, Pietro Burrascano:
Blind electromagnetic source separation and localization. ISCAS (1) 2002: 685-688 - 2001
- [j9]Simone G. O. Fiori:
Probability Density Function Learning by Unsupervised Neurons. Int. J. Neural Syst. 11(5): 399-417 (2001) - [j8]Saverio Costa, Simone G. O. Fiori:
Image compression using principal component neural networks. Image Vis. Comput. 19(9-10): 649-668 (2001) - [j7]Simone G. O. Fiori:
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold. Neural Comput. 13(7): 1625-1647 (2001) - [j6]Simone G. O. Fiori, Paolo Bucciarelli:
Probability Density Estimation Using Adaptive Activation Function Neurons. Neural Process. Lett. 13(1): 31-42 (2001) - [j5]Simone G. O. Fiori:
A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation. Signal Process. 81(10): 2131-2153 (2001) - [j4]Simone G. O. Fiori:
On blind separation of complex-valued sources by extended Hebbian learning. IEEE Signal Process. Lett. 8(8): 217-220 (2001) - [c22]Simone G. O. Fiori:
Topics in Blind Signal Processing by Neural Networks. WIRN 2001: 63-74 - 2000
- [j3]Simone G. O. Fiori:
Blind separation of circularly distributed sources by neural extended APEX algorithm. Neurocomputing 34(1-4): 239-252 (2000) - [j2]Simone G. O. Fiori:
Blind signal processing by the adaptive activation function neurons. Neural Networks 13(6): 597-611 (2000) - [j1]Simone G. O. Fiori:
An Experimental Comparison of Three PCA Neural Networks. Neural Process. Lett. 11(3): 209-218 (2000) - [c21]Simone G. O. Fiori, Pietro Burrascano:
A Neural Network Approach to Maximum Likelihood Estimation for Eddy-Current Back-Scattering NDE Data Inversion. IJCNN (5) 2000: 65-70 - [c20]Simone G. O. Fiori:
Stiefel-Grassman Flow (SGF) Learning: Further Results. IJCNN (3) 2000: 343-350 - [c19]S. Barcherini, L. Cipiccia, M. Maggi, Simone G. O. Fiori, Pietro Burrascano:
Non-Destructive Test by the Hopfield Network. IJCNN (6) 2000: 381-388 - [c18]Simone G. O. Fiori, Saverio Costa, Pietro Burrascano:
Improved psi-APEX Algorithm for Digital Image Compression. IJCNN (3) 2000: 392-400 - [c17]Simone G. O. Fiori, Francesco Piazza:
Neural MCA for robust beamforming. ISCAS 2000: 614-617
1990 – 1999
- 1999
- [c16]Simone G. O. Fiori, Francesco Piazza:
A comparison of three PCA neural techniques. ESANN 1999: 275-280 - [c15]Eraldo Pomponi, Simone G. O. Fiori, Francesco Piazza:
Complex independent component analysis by nonlinear generalized Hebbian learning with Rayleigh nonlinearity. ICASSP 1999: 1077-1080 - [c14]Simone G. O. Fiori, Francesco Piazza:
Weighted least-squares blind deconvolution. ICASSP 1999: 2507-2510 - [c13]Simone G. O. Fiori, Pietro Burrascano:
'Mechanical' neural learning and InfoMax orthonormal independent component analysis. IJCNN 1999: 985-988 - [c12]Simone G. O. Fiori, Pietro Burrascano:
Analytical results on pseudo-polynomial functional-link neural units for blind density shaping. IJCNN 1999: 1117-1120 - [c11]Simone G. O. Fiori, Alessandro Faustini, Pietro Burrascano:
Non-uniform image sampling for robot motion control by the GFS neural algorithm. IJCNN 1999: 2057-2060 - [c10]M. Angeli, Pietro Burrascano, Ermanno Cardelli, Simone G. O. Fiori, S. Resteghini:
Classification of eddy current NDT data by probabilistic neural networks. IJCNN 1999: 4012-4014 - [c9]Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
Blind deconvolution by modified Bussgang algorithm. ISCAS (3) 1999: 1-4 - [c8]Simone G. O. Fiori, Paola Baldassarri, Francesco Piazza:
An efficient architecture for independent component analysis. ISCAS (5) 1999: 335-338 - [c7]Simone G. O. Fiori, Francesco Piazza:
Neural blind separation of complex sources by extended Hebbian learning (EGHA). ISCAS (5) 1999: 339-342 - [c6]Simone G. O. Fiori, Francesco Piazza:
A second-order differential system for orthonormal optimization. ISCAS (5) 1999: 531-534 - [c5]Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
Neural blind separation of complex sources by extended APEX algorithm (EAPEX). ISCAS (5) 1999: 627-630 - 1998
- [c4]Simone G. O. Fiori, Aurelio Uncini:
A unified approach to laterally-connected neural NETS. EUSIPCO 1998: 1-4 - 1997
- [c3]Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
Application of the MEC Network to Principal Component Analysis and Source Separation. ICANN 1997: 571-576 - [c2]Paolo Campolucci, Simone G. O. Fiori, Aurelio Uncini, Francesco Piazza:
A new IIR-MLP learning algorithm for on-line signal processing. ICASSP 1997: 3293-3296 - [c1]Simone G. O. Fiori, Paolo Campolucci, Aurelio Uncini, Francesco Piazza:
A new unsupervised neural learning rule for orthonormal signal processing. ICASSP 1997: 3349-3352
Coauthor Index
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