James Ting-Ho Lo

CoRR, 2020

Low-Order Model of Biological Neural Networks.

[BibT_eX]

[DOI]

Huachuan Wang

CoRR, 2020

2018

Chaotic synchronization based on neural filter.

[BibT_eX]

[DOI]

Fei Wang

J. Frankl. Inst., 2018

2017

Solving the Local-Minimum Problem in Training Deep Learning Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A neural filter-based scheme for synchronizing chaotic systems.

[BibT_eX]

[DOI]

Fei Wang

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Nonlinear system identification based on recurrent neural networks with shared and specialized memories.

[BibT_eX]

[DOI]

Fei Wang

Proceedings of the 11th Asian Control Conference, 2017

2016

Training deep neural networks with gradual deconvexification.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Accommodative neural filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

The normalized risk-averting error criterion for avoiding nonglobal local minima in training neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2014

A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

A cortex-like learning machine for temporal hierarchical pattern clustering, detection, and recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011

A Low-Order Model of Biological Neural Networks.

[BibT_eX]

[DOI]

Neural Comput., 2011

A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Convexification for data fitting.

[BibT_eX]

[DOI]

J. Glob. Optim., 2010

Unsupervised Hebbian learning by recurrent multilayer neural networks for temporal hierarchical pattern recognition.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification.

[BibT_eX]

[DOI]

Neural Comput., 2009

2008

Probabilistic associative memories.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

1997

Overcoming recurrent neural networks' compactness limitation for neurofiltering.

[BibT_eX]

[DOI]

Lei Yu

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Robust adaptive neurofilters with or without online weight adjustment.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Robust adaptive identification of dynamic systems by neural networks.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Adaptive system identification by nonadaptively trained neural networks.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994

Synthetic approach to optimal filtering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1994

1993

Recursive direction finding in the presence of sensor array uncertainties.

[BibT_eX]

[DOI]

Joseph H. Clements III

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

Observability conditions for multiple signal direction finding and array sensor localization.

[BibT_eX]

[DOI]

Stanley Lawrence Marple Jr.

IEEE Trans. Signal Process., 1992

1991

Backestimation for training multilayer perceptrons.

[BibT_eX]

[DOI]

Proceedings of the 1991 International Conference on Acoustics, 1991

1990

Array sensor localization and calibration by cyclic regression.

[BibT_eX]

[DOI]

Proceedings of the 1990 International Conference on Acoustics, 1990

1988

New maximum likelihood approach to multiple signal estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 1988

1987

Optimal functional expansion for estimation from counting observations.

[BibT_eX]

[DOI]

Sze-Kui Ng

IEEE Trans. Inf. Theory, 1987

Eigenstructure methods for array sensor localization.

[BibT_eX]

[DOI]

Stanley Lawrence Marple Jr.

Proceedings of the IEEE International Conference on Acoustics, 1987

1979

Exponential Fourier densities and optimal estimation for axial processes.

[BibT_eX]

[DOI]

Linda R. Eshleman

IEEE Trans. Inf. Theory, 1979

1977

Exponential Fourier densities on S2 and optimal estimation and detection for directional processes.

[BibT_eX]

[DOI]

Linda R. Eshleman

IEEE Trans. Inf. Theory, 1977

Exponential Fourier densities and optimal estimation and detection on the circle.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1977

1975

Representation of Continuous Curves on the 3-Dimensional Rotation Group.

[BibT_eX]

[DOI]

Math. Syst. Theory, 1975

A general bayes rule and its application to nonlinear estimation.

[BibT_eX]

[DOI]

Inf. Sci., 1975

Signal detection for bilinear systems.

[BibT_eX]

[DOI]

Inf. Sci., 1975

1974

Signal Detection of Rotational Processes and Frequency Demodulation

[BibT_eX]

[DOI]

Inf. Control., October, 1974

On optimal nonlinear estimation -- Part II: Discrete observation.

[BibT_eX]

[DOI]

Inf. Sci., 1974

1973

On optimal nonlinear estimation part I: Continuous observation.

[BibT_eX]

[DOI]

Inf. Sci., 1973

1972

Finite-dimensional sensor orbits and optimal nonlinear filtering.

[BibT_eX]

[DOI]