Michael T. Manry

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 16

Top Topics

Top Venues

Neural Process. Lett.

Publications

Jeshwanth Challagundla, Kanishka Tyagi, Tushar Chugh, Michael T. Manry
Multiple Gain Adaptations for Improved Neural Networks Training. CCWC (2024)
Chinmay Rane, Kanishka Tyagi, Sanjeev S. Malalur, Yash Shinge, Michael T. Manry
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network. CoRR (2023)
Chinmay Rane, Kanishka Tyagi, Michael T. Manry
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions. CoRR (2023)
Kanishka Tyagi, Chinmay Rane, Michael T. Manry
Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms. CoRR (2023)
Kanishka Tyagi, Chinmay Rane, Bito Irie, Michael T. Manry
Multistage Newton's Approach for Training Radial Basis Function Neural Networks. SN Comput. Sci. 2 (5) (2021)
Son Nguyen, Michael T. Manry
Balanced Gradient Training of Feed Forward Networks. Neural Process. Lett. 53 (3) (2021)
Kanishka Tyagi, Son Nguyen, Rohit Rawat, Michael T. Manry
Second Order Training and Sizing for the Multilayer Perceptron. Neural Process. Lett. 51 (1) (2020)
R. W. Gladen, V. A. Chirayath, A. J. Fairchild, Michael T. Manry, A. R. Koymen, A. H. Weiss
Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector. CoRR (2020)
Kanishka Tyagi, Michael T. Manry
Multi-step Training of a Generalized Linear Classifier. Neural Process. Lett. 50 (2) (2019)
Rohit Rawat, Michael T. Manry
Second Order Training of a Smoothed Piecewise Linear Network. Neural Process. Lett. 46 (3) (2017)
Melvin Deloyd Robinson, Michael T. Manry, Sanjeev S. Malalur, Changhua Yu
Properties of a Batch Training Algorithm for Feedforward Networks. Neural Process. Lett. 45 (3) (2017)
Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry
Structural adaptation for sparsely connected MLP using Newton's method. IJCNN (2017)
Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry
Second order design of multiclass kernel machines. IJCNN (2016)
Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry
Partially affine invariant back propagation. IJCNN (2016)
Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry
Discriminant vector tranformations in neural network classifiers. IJCNN (2016)
Sanjeev S. Malalur, Michael T. Manry, Praveen Jesudhas
Multiple optimal learning factors for the multi-layer perceptron. Neurocomputing 149 (2015)
Rohit Rawat, Kunal Vora, Michael T. Manry, Gautam Eapi
Multi-variable Neural Network Forecasting Using Two Stage Feature Selection. ICMLA (2014)
Kanishka Tyagi, Nojun Kwak, Michael T. Manry
Norm. ICPRAM (2014)
Xun Cai, Kanishka Tyagi, Michael T. Manry, Zhi Chen
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network. IJCNN (2014)
Aditi S. Godbole, Kanishka Tyagi, Michael T. Manry
Neural decision directed segmentation of silicon defects. IJCNN (2013)
Rohit Rawat, Jignesh K. Patel, Michael T. Manry
Minimizing validation error with respect to network size and number of training epochs. IJCNN (2013)
Melvin Deloyd Robinson, Michael T. Manry
Partially affine invariant training using dense transform matrices. IJCNN (2013)
Praveen Jesudhas, Michael T. Manry, Rohit Rawat, Sanjeev S. Malalur
Analysis and improvement of multiple optimal learning factors for feed-forward networks. IJCNN (2011)
Babu Hemanth Kumar Aswathappa, Michael T. Manry, Rohit Rawat
Optimal output gain algorithm for feed-forward network training. IJCNN (2011)
Xun Cai, Kanishka Tyagi, Michael T. Manry
Training multilayer perceptron by using optimal input normalization. FUZZ-IEEE (2011)
Kanishka Tyagi, Xun Cai, Michael T. Manry
Fuzzy C-means clustering based construction and training for second order RBF network. FUZZ-IEEE (2011)
Xun Cai, Kanishka Tyagi, Michael T. Manry
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. IJCNN (2011)
Sanjeev S. Malalur, Michael T. Manry
Feed-forward network training using optimal input gains. IJCNN (2009)
Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Michael T. Manry
Small Models of Large Machines. FLAIRS Conference (2008)
Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco Maldonado
An integrated growing-pruning method for feedforward network training. Neurocomputing 71 (13-15) (2008)
Pramod Lakshmi Narasimha, Michael T. Manry, Francisco Maldonado
Upper bound on pattern storage in feedforward networks. Neurocomputing 71 (16-18) (2008)
Saurabh Sureka, Michael T. Manry
A Functional Link Network With Ordered Basis Functions. IJCNN (2007)
Pramod Lakshmi Narasimha, Michael T. Manry, Francisco Maldonado
Upper Bound on Pattern Storage in Feedforward Networks. IJCNN (2007)
Hema Chandrasekaran, Jiang Li, Walter H. Delashmit, Pramod Lakshmi Narasimha, Changhua Yu, Michael T. Manry
Convergent design of piecewise linear neural networks. Neurocomputing 70 (4-6) (2007)
A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore
A Piecewise Linear Network Classifier. IJCNN (2007)
Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu
Feature Selection Using a Piecewise Linear Network. IEEE Trans. Neural Networks 17 (5) (2006)
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools 15 (6) (2006)
Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, F. J. Maldonado
Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks. FLAIRS Conference (2006)
Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha
An efficient hidden layer training method for the multilayer perceptron. Neurocomputing 70 (1-3) (2006)
Mohammad A. Al-Abed, Khosrow Behbehani, John R. Burk, Edgar A. Lucas, Michael T. Manry
A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability. EMBC (Supplement) (2006)
Changhua Yu, Michael T. Manry, Jiang Li
Effects Of Nonsingular Preprocessing On Feedforward Network Training. Int. J. Pattern Recognit. Artif. Intell. 19 (2) (2005)
R. G. Gore, Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei
Iterative Design of Neural Network Classifiers Through Regression. Int. J. Artif. Intell. Tools 14 (1-2) (2005)
Pramod Lakshmi Narasimha, Michael T. Manry, Changhua Yu
Nonlinear Network Time-Series Forecasting Using Redundancy Reduction. FLAIRS Conference (2005)
Changhua Yu, Michael T. Manry, Pramod Lakshmi Narasimha
Sensitivity of Nonlinear Network Training to Affine Transformed Inputs. FLAIRS Conference (2005)
Jiang Li, Michael T. Manry, Changhua Yu, D. Randall Wilson
Prototype Classifier Design with Pruning. Int. J. Artif. Intell. Tools 14 (1-2) (2005)
Jiang Li, Qilian Liang, Michael T. Manry
Co-channel interference suppression with model simplification in TDMA systems. PIMRC (2004)
Changhua Yu, Michael T. Manry, Jiang Li
Hidden Layer Training via Hessian Matrix Information. FLAIRS Conference (2004)
Jiang Li, Qilian Liang, Michael T. Manry
Demodulation for wireless ATM network using modified SOM network. ICASSP (5) (2004)
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei
Iterative Improvement of Neural Classifiers. FLAIRS Conference (2004)
Changhua Yu, Michael T. Manry, Jiang Li
Invariance of MLP Training to Input Feature De-correlation. FLAIRS Conference (2004)
Jiang Li, Michael T. Manry, Changhua Yu
Prototype Based Classifier Design with Pruning. FLAIRS Conference (2004)
Jiang Li, Qilian Liang, Michael T. Manry
A nonlinear filtering approach for demodulation over Rician flat fading channels. GLOBECOM (2004)
F. J. Maldonado, Michael T. Manry
A Pseudogenetic Algorithm for MLP Design based upon the Schmidt Procedure. Neural Networks and Computational Intelligence (2003)
Jiang Li, Qilian Liang, Michael T. Manry, Tae-Hoon Kim
A semiblind demodulator aided by protocols for wireless ATM network. PIMRC (2003)
Jiang Li, Qilian Liang, Michael T. Manry
Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm. PIMRC (2003)
Hema Chandrasekaran, Hung-Han Chen, Michael T. Manry
Pruning of basis functions in nonlinear approximators. Neurocomputing 34 (1-4) (2000)
Zi-Qin Wang, Michael T. Manry, Jeffrey L. Schiano
LMS learning algorithms: misconceptions and new results on converence. IEEE Trans. Neural Networks Learn. Syst. 11 (1) (2000)
Hung-Han Chen, Michael T. Manry, Hema Chandrasekaran
A neural network training algorithm utilizing multiple sets of linear equations. Neurocomputing 25 (1-3) (1999)
Iyab I. Sakhnini, Michael T. Manry, Hema Chandrasekaran
Iterative Improvement of trigonometric networks. IJCNN (1999)
Hema Chandrasekaran, Michael T. Manry
Convergent design of a piecewise linear neural network. IJCNN (1999)
Cheng-Hsiung Hsieh, Michael T. Manry, Ting-Cheng Chang
Calculation of Cramer Rao maximum a posteriori lower bounds from training data. SMC (1998)
Michael S. Dawson, Adrian K. Fung, Michael T. Manry
A robust statistical-based estimator for soil moisture retrieval from radar measurements. IEEE Trans. Geosci. Remote. Sens. 35 (1) (1997)
Michael T. Manry, Steven J. Apollo, Qiang Yu
Minimum mean square estimation and neural networks. Neurocomputing 13 (1) (1996)
William E. Weideman, Michael T. Manry, Hung-Chun Yau, Wei Gong
Comparisons of a neural network and a nearest-neighbor classifier via the numeric handprint recognition problem. IEEE Trans. Neural Networks 6 (6) (1995)
Weibo Liang, Michael T. Manry, Qiang Yu, Michael S. Dawson, Adrian K. Fung
Stochastic Cramer Rao bounds for non-Gaussian signals and parameters. ICASSP (1995)
Wei Gong, K. R. Rao, Michael T. Manry
Progressive image transmission. IEEE Trans. Circuits Syst. Video Technol. 3 (5) (1993)
Mu-Song Chen, Michael T. Manry
Conventional modeling of the multilayer perceptron using polynomial basis functions. IEEE Trans. Neural Networks 4 (1) (1993)
Yousuf Saifullah, Michael T. Manry
Classification-based segmentation of ZIP codes. IEEE Trans. Syst. Man Cybern. 23 (5) (1993)
Kamyar Rohani, Michael T. Manry
Nonlinear neural network filters for image processing. ICASSP (1992)
Kamyar Rohani, Mu-Song Chen, Michael T. Manry
Neural subnet design by direct polynomial mapping. IEEE Trans. Neural Networks 3 (6) (1992)
Lars A. Anderson, Hung-Chun Yau, Michael T. Manry
Recursive approximation of the energy spectral density. IEEE Trans. Signal Process. 40 (12) (1992)
Wei Gong, K. R. Rao, Michael T. Manry
Progressive image transmission using a self-supervised back-propagation neural network. J. Electronic Imaging 1 (1) (1992)
Hung-Chun Yau, Michael T. Manry
Automatic determination of reject thresholds in classifiers employing discriminant functions. IEEE Trans. Signal Process. 40 (3) (1992)
Hung-Chun Yau, Michael T. Manry
Iterative improvement of a nearest neighbor classifier. Neural Networks 4 (4) (1991)
Phillip J. Thompson, Michael T. Manry
A frequency domain weighting function approach to extrapolation. IEEE Trans. Acoust. Speech Signal Process. 38 (8) (1990)
Hung-Chun Yau, Michael T. Manry
Iterative improvement of a Gaussian classifier. Neural Networks 3 (4) (1990)
Mu-Song Chen, Michael T. Manry
Backpropagation representation theorem using power series. IJCNN (1990)
Hung-Chau Yau, Michael T. Manry
Sigma-pi implementation of a Gaussian classifier. IJCNN (1990)
Hung-Chun Yau, Michael T. Manry
Sigma-pi implementation of a nearest neighbor classifier. IJCNN (1990)
Songqing Shi, Michael T. Manry
Phase improvement in IIR digital filters. IEEE Trans. Acoust. Speech Signal Process. 37 (10) (1989)
Chun-Chau Lin, Michael T. Manry
A new signal averaging algorithm for discrete signals. IEEE Trans. Acoust. Speech Signal Process. 37 (3) (1989)
Rashid Zia Khan, Lars A. Anderson, Michael T. Manry
Taylor series approximation of the energy spectral density. IEEE Trans. Acoust. Speech Signal Process. 36 (1) (1988)
Phillip J. Thompson, Michael T. Manry
An efficient, noise tolerant, linear extrapolator. ICASSP (1988)
Michael T. Manry, C. T. Huddleston
Parameter estimation using the autocorrelation of the discrete Fourier transform. ICASSP (1987)
H.-C. Lue, Michael T. Manry
Efficient calculation of signal and noise variances. IEEE Trans. Acoust. Speech Signal Process. 34 (4) (1986)
Michael T. Manry
Parameter estimation algorithms utilizing implicit phase. ICASSP (1984)