Michael T. Manry

According to our database1, Michael T. Manry authored at least 85 papers between 1984 and 2024.

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

Timeline

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Bibliography

2024
Multiple Gain Adaptations for Improved Neural Networks Training.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions.
CoRR, 2023

Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network.
CoRR, 2023

2021
Multistage Newton's Approach for Training Radial Basis Function Neural Networks.
SN Comput. Sci., 2021

Balanced Gradient Training of Feed Forward Networks.
Neural Process. Lett., 2021

2020
Second Order Training and Sizing for the Multilayer Perceptron.
Neural Process. Lett., 2020

Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector.
CoRR, 2020

2019
Multi-step Training of a Generalized Linear Classifier.
Neural Process. Lett., 2019

2017
Properties of a Batch Training Algorithm for Feedforward Networks.
Neural Process. Lett., 2017

Second Order Training of a Smoothed Piecewise Linear Network.
Neural Process. Lett., 2017

Structural adaptation for sparsely connected MLP using Newton's method.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Partially affine invariant back propagation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Second order design of multiclass kernel machines.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Discriminant vector tranformations in neural network classifiers.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Multiple optimal learning factors for the multi-layer perceptron.
Neurocomputing, 2015

2014
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L<sub>1</sub> Norm.
Proceedings of the ICPRAM 2014, 2014

Multi-variable Neural Network Forecasting Using Two Stage Feature Selection.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Partially affine invariant training using dense transform matrices.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Minimizing validation error with respect to network size and number of training epochs.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neural decision directed segmentation of silicon defects.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Two-Stage Second Order Training in Feedforward Neural Networks.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2011
Analysis and improvement of multiple optimal learning factors for feed-forward networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Optimal output gain algorithm for feed-forward network training.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Fuzzy C-means clustering based construction and training for second order RBF network.
Proceedings of the FUZZ-IEEE 2011, 2011

Training multilayer perceptron by using optimal input normalization.
Proceedings of the FUZZ-IEEE 2011, 2011

2009
Feed-forward network training using optimal input gains.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Upper bound on pattern storage in feedforward networks.
Neurocomputing, 2008

An integrated growing-pruning method for feedforward network training.
Neurocomputing, 2008

Small Models of Large Machines.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
Convergent design of piecewise linear neural networks.
Neurocomputing, 2007

A Functional Link Network With Ordered Basis Functions.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Piecewise Linear Network Classifier.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Feature Selection Using a Piecewise Linear Network.
IEEE Trans. Neural Networks, 2006

An efficient hidden layer training method for the multilayer perceptron.
Neurocomputing, 2006

An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection.
Int. J. Artif. Intell. Tools, 2006

Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Effects Of Nonsingular Preprocessing On Feedforward Network Training.
Int. J. Pattern Recognit. Artif. Intell., 2005

Prototype Classifier Design with Pruning.
Int. J. Artif. Intell. Tools, 2005

Iterative Design of Neural Network Classifiers Through Regression.
Int. J. Artif. Intell. Tools, 2005

Sensitivity of Nonlinear Network Training to Affine Transformed Inputs.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Nonlinear Network Time-Series Forecasting Using Redundancy Reduction.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Co-channel interference suppression with model simplification in TDMA systems.
Proceedings of the IEEE 15th International Symposium on Personal, 2004

Demodulation for wireless ATM network using modified SOM network.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A nonlinear filtering approach for demodulation over Rician flat fading channels.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

Hidden Layer Training via Hessian Matrix Information.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Invariance of MLP Training to Input Feature De-correlation.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Prototype Based Classifier Design with Pruning.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Iterative Improvement of Neural Classifiers.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003
A semiblind demodulator aided by protocols for wireless ATM network.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

A Pseudogenetic Algorithm for MLP Design based upon the Schmidt Procedure.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

2000
LMS learning algorithms: misconceptions and new results on converence.
IEEE Trans. Neural Networks Learn. Syst., 2000

Pruning of basis functions in nonlinear approximators.
Neurocomputing, 2000

1999
A neural network training algorithm utilizing multiple sets of linear equations.
Neurocomputing, 1999

Iterative Improvement of trigonometric networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Convergent design of a piecewise linear neural network.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Calculation of Cramer Rao maximum a posteriori lower bounds from training data.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
A robust statistical-based estimator for soil moisture retrieval from radar measurements.
IEEE Trans. Geosci. Remote. Sens., 1997

1996
Minimum mean square estimation and neural networks.
Neurocomputing, 1996

1995
Comparisons of a neural network and a nearest-neighbor classifier via the numeric handprint recognition problem.
IEEE Trans. Neural Networks, 1995

Stochastic Cramer Rao bounds for non-Gaussian signals and parameters.
Proceedings of the 1995 International Conference on Acoustics, 1995

1993
Classification-based segmentation of ZIP codes.
IEEE Trans. Syst. Man Cybern., 1993

Conventional modeling of the multilayer perceptron using polynomial basis functions.
IEEE Trans. Neural Networks, 1993

Progressive image transmission.
IEEE Trans. Circuits Syst. Video Technol., 1993

1992
Automatic determination of reject thresholds in classifiers employing discriminant functions.
IEEE Trans. Signal Process., 1992

Recursive approximation of the energy spectral density.
IEEE Trans. Signal Process., 1992

Neural subnet design by direct polynomial mapping.
IEEE Trans. Neural Networks, 1992

Progressive image transmission using a self-supervised back-propagation neural network.
J. Electronic Imaging, 1992

Nonlinear neural network filters for image processing.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Iterative improvement of a nearest neighbor classifier.
Neural Networks, 1991

1990
A frequency domain weighting function approach to extrapolation.
IEEE Trans. Acoust. Speech Signal Process., 1990

Iterative improvement of a Gaussian classifier.
Neural Networks, 1990

Sigma-pi implementation of a Gaussian classifier.
Proceedings of the IJCNN 1990, 1990

Sigma-pi implementation of a nearest neighbor classifier.
Proceedings of the IJCNN 1990, 1990

Backpropagation representation theorem using power series.
Proceedings of the IJCNN 1990, 1990

1989
Phase improvement in IIR digital filters.
IEEE Trans. Acoust. Speech Signal Process., 1989

A new signal averaging algorithm for discrete signals.
IEEE Trans. Acoust. Speech Signal Process., 1989

1988
Taylor series approximation of the energy spectral density.
IEEE Trans. Acoust. Speech Signal Process., 1988

An efficient, noise tolerant, linear extrapolator.
Proceedings of the IEEE International Conference on Acoustics, 1988

1987
Parameter estimation using the autocorrelation of the discrete Fourier transform.
Proceedings of the IEEE International Conference on Acoustics, 1987

1986
Efficient calculation of signal and noise variances.
IEEE Trans. Acoust. Speech Signal Process., 1986

1984
Parameter estimation algorithms utilizing implicit phase.
Proceedings of the IEEE International Conference on Acoustics, 1984


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