James Ting-Ho Lo

According to our database1, James Ting-Ho Lo authored at least 42 papers between 1972 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Adaptively Solving the Local-Minimum Problem for Deep Neural Networks.
CoRR, 2020

Low-Order Model of Biological Neural Networks.
CoRR, 2020

2018
Chaotic synchronization based on neural filter.
J. Frankl. Inst., 2018

2017
Solving the Local-Minimum Problem in Training Deep Learning Machines.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A neural filter-based scheme for synchronizing chaotic systems.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Nonlinear system identification based on recurrent neural networks with shared and specialized memories.
Proceedings of the 11th Asian Control Conference, 2017

2016
Training deep neural networks with gradual deconvexification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Accommodative neural filters.
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.
Neurocomputing, 2015

2014
A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion.
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.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification.
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.
Neurocomputing, 2012

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
A Low-Order Model of Biological Neural Networks.
Neural Comput., 2011

A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Convexification for data fitting.
J. Glob. Optim., 2010

Unsupervised Hebbian learning by recurrent multilayer neural networks for temporal hierarchical pattern recognition.
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.
Neural Comput., 2009

2008
Probabilistic associative memories.
Proceedings of the International Joint Conference on Neural Networks, 2008

1997
Overcoming recurrent neural networks' compactness limitation for neurofiltering.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Robust adaptive neurofilters with or without online weight adjustment.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Robust adaptive identification of dynamic systems by neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Adaptive system identification by nonadaptively trained neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994
Synthetic approach to optimal filtering.
IEEE Trans. Neural Networks, 1994

1993
Recursive direction finding in the presence of sensor array uncertainties.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Observability conditions for multiple signal direction finding and array sensor localization.
IEEE Trans. Signal Process., 1992

1991
Backestimation for training multilayer perceptrons.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Array sensor localization and calibration by cyclic regression.
Proceedings of the 1990 International Conference on Acoustics, 1990

1988
New maximum likelihood approach to multiple signal estimation.
Proceedings of the IEEE International Conference on Acoustics, 1988

1987
Optimal functional expansion for estimation from counting observations.
IEEE Trans. Inf. Theory, 1987

Eigenstructure methods for array sensor localization.
Proceedings of the IEEE International Conference on Acoustics, 1987

1979
Exponential Fourier densities and optimal estimation for axial processes.
IEEE Trans. Inf. Theory, 1979

1977
Exponential Fourier densities on S2 and optimal estimation and detection for directional processes.
IEEE Trans. Inf. Theory, 1977

Exponential Fourier densities and optimal estimation and detection on the circle.
IEEE Trans. Inf. Theory, 1977

1975
Representation of Continuous Curves on the 3-Dimensional Rotation Group.
Math. Syst. Theory, 1975

A general bayes rule and its application to nonlinear estimation.
Inf. Sci., 1975

Signal detection for bilinear systems.
Inf. Sci., 1975

1974
Signal Detection of Rotational Processes and Frequency Demodulation
Inf. Control., October, 1974

On optimal nonlinear estimation -- Part II: Discrete observation.
Inf. Sci., 1974

1973
On optimal nonlinear estimation part I: Continuous observation.
Inf. Sci., 1973

1972
Finite-dimensional sensor orbits and optimal nonlinear filtering.
IEEE Trans. Inf. Theory, 1972


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