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Michael T. Manry
Michael Thomas Manry
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2020 – today
- 2024
- [j37]Chinmay Rane, Kanishka Tyagi, Adrienne Kline, Tushar Chugh, Michael T. Manry:
Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions. Evol. Intell. 17(5): 4083-4093 (2024) - [c47]Jeshwanth Challagundla, Kanishka Tyagi, Tushar Chugh, Michael T. Manry:
Multiple Gain Adaptations for Improved Neural Networks Training. CCWC 2024: 414-420 - 2023
- [i3]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 abs/2303.17732 (2023) - [i2]Chinmay Rane, Kanishka Tyagi, Michael T. Manry:
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions. CoRR abs/2308.05724 (2023) - 2021
- [j36]Son Nguyen
, Michael T. Manry:
Balanced Gradient Training of Feed Forward Networks. Neural Process. Lett. 53(3): 1823-1844 (2021) - [j35]Kanishka Tyagi, Chinmay Rane
Multistage Newton's Approach for Training Radial Basis Function Neural Networks. SN Comput. Sci. 2(5): 366 (2021) - 2020
- [j34]Kanishka Tyagi
Second Order Training and Sizing for the Multilayer Perceptron. Neural Process. Lett. 51(1): 963-991 (2020) - [i1]Randall W. Gladen, Varghese A. Chirayath, Alexander J. Fairchild, Michael T. Manry, Ali R. Koymen, Alex H. Weiss:
Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector. CoRR abs/2004.00008 (2020)
2010 – 2019
- 2019
- [j33]Kanishka Tyagi
Multi-step Training of a Generalized Linear Classifier. Neural Process. Lett. 50(2): 1341-1360 (2019) - 2017
- [j32]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): 841-854 (2017) - [j31]Rohit Rawat
Second Order Training of a Smoothed Piecewise Linear Network. Neural Process. Lett. 46(3): 915-942 (2017) - [c46]Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Structural adaptation for sparsely connected MLP using Newton's method. IJCNN 2017: 4467-4473 - 2016
- [c45]Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry:
Partially affine invariant back propagation. IJCNN 2016: 811-818 - [c44]Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Discriminant vector tranformations in neural network classifiers. IJCNN 2016: 1780-1786 - [c43]Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry:
Second order design of multiclass kernel machines. IJCNN 2016: 3233-3240 - 2015
- [j30]Sanjeev S. Malalur, Michael T. Manry, Praveen Jesudhas:
Multiple optimal learning factors for the multi-layer perceptron. Neurocomputing 149: 1490-1501 (2015) - 2014
- [c42]Rohit Rawat
Multi-variable Neural Network Forecasting Using Two Stage Feature Selection. ICMLA 2014: 243-250 - [c41]Kanishka Tyagi, Nojun Kwak, Michael T. Manry:
Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm. ICPRAM 2014: 207-212 - [c40]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: 1093-1099 - 2013
- [c39]Melvin Deloyd Robinson, Michael Thomas Manry:
Two-Stage Second Order Training in Feedforward Neural Networks. FLAIRS 2013 - [c38]Aditi S. Godbole
Neural decision directed segmentation of silicon defects. IJCNN 2013: 1-8 - [c37]Rohit Rawat
Minimizing validation error with respect to network size and number of training epochs. IJCNN 2013: 1-7 - [c36]Melvin Deloyd Robinson, Michael T. Manry:
Partially affine invariant training using dense transform matrices. IJCNN 2013: 1-6 - 2011
- [c35]Kanishka Tyagi, Xun Cai, Michael T. Manry:
Fuzzy C-means clustering based construction and training for second order RBF network. FUZZ-IEEE 2011: 248-255 - [c34]Xun Cai, Kanishka Tyagi, Michael T. Manry:
Training multilayer perceptron by using optimal input normalization. FUZZ-IEEE 2011: 2771-2778 - [c33]Praveen Jesudhas, Michael T. Manry, Rohit Rawat
Analysis and improvement of multiple optimal learning factors for feed-forward networks. IJCNN 2011: 2593-2600 - [c32]Babu Hemanth Kumar Aswathappa, Michael T. Manry, Rohit Rawat
Optimal output gain algorithm for feed-forward network training. IJCNN 2011: 2609-2616 - [c31]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: 3120-3126
2000 – 2009
- 2009
- [c30]Sanjeev S. Malalur, Michael T. Manry:
Feed-forward network training using optimal input gains. IJCNN 2009: 1953-1960 - 2008
- [j29]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): 2831-2847 (2008) - [j28]Pramod Lakshmi Narasimha, Michael T. Manry, Francisco Maldonado:
Upper bound on pattern storage in feedforward networks. Neurocomputing 71(16-18): 3612-3616 (2008) - [c29]Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Michael T. Manry:
Small Models of Large Machines. FLAIRS 2008: 83-88 - 2007
- [j27]Hema Chandrasekaran
Convergent design of piecewise linear neural networks. Neurocomputing 70(4-6): 1022-1039 (2007) - [c28]Saurabh Sureka, Michael T. Manry:
A Functional Link Network With Ordered Basis Functions. IJCNN 2007: 1708-1713 - [c27]Pramod Lakshmi Narasimha, Michael T. Manry, Francisco Maldonado:
Upper Bound on Pattern Storage in Feedforward Networks. IJCNN 2007: 1714-1719 - [c26]A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore:
A Piecewise Linear Network Classifier. IJCNN 2007: 1750-1755 - 2006
- [j26]Jiang Li, Jianhua Yao
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools 15(6): 893-916 (2006) - [j25]Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha:
An efficient hidden layer training method for the multilayer perceptron. Neurocomputing 70(1-3): 525-535 (2006) - [j24]Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu:
Feature Selection Using a Piecewise Linear Network. IEEE Trans. Neural Networks 17(5): 1101-1115 (2006) - [c25]Mohammad A. Al-Abed
A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability. EMBC (Supplement) 2006: 6493-6496 - [c24]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 2006: 706-712 - 2005
- [j23]Jiang Li, Michael T. Manry, Changhua Yu, D. Randall Wilson:
Prototype Classifier Design with Pruning. Int. J. Artif. Intell. Tools 14(1-2): 261-280 (2005) - [j22]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): 281-302 (2005) - [j21]Changhua Yu, Michael T. Manry, Jiang Li:
Effects Of Nonsingular Preprocessing On Feedforward Network Training. Int. J. Pattern Recognit. Artif. Intell. 19(2): 217-247 (2005) - [c23]Changhua Yu, Michael T. Manry, Pramod Lakshmi Narasimha:
Sensitivity of Nonlinear Network Training to Affine Transformed Inputs. FLAIRS 2005: 591-597 - [c22]Pramod Lakshmi Narasimha, Michael T. Manry, Changhua Yu:
Nonlinear Network Time-Series Forecasting Using Redundancy Reduction. FLAIRS 2005: 834-835 - 2004
- [c21]Changhua Yu, Michael T. Manry, Jiang Li:
Invariance of MLP Training to Input Feature De-correlation. FLAIRS 2004: 682-687 - [c20]Changhua Yu, Michael T. Manry, Jiang Li:
Hidden Layer Training via Hessian Matrix Information. FLAIRS 2004: 688-694 - [c19]Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei:
Iterative Improvement of Neural Classifiers. FLAIRS 2004: 700-705 - [c18]Jiang Li, Michael T. Manry, Changhua Yu:
Prototype Based Classifier Design with Pruning. FLAIRS 2004: 706-712 - [c17]Jiang Li, Qilian Liang, Michael T. Manry:
A nonlinear filtering approach for demodulation over Rician flat fading channels. GLOBECOM 2004: 813-817 - [c16]Jiang Li, Qilian Liang, Michael T. Manry:
Demodulation for wireless ATM network using modified SOM network. ICASSP (5) 2004: 669-672 - [c15]Jiang Li, Qilian Liang, Michael T. Manry:
Co-channel interference suppression with model simplification in TDMA systems. PIMRC 2004: 1302-1306 - 2003
- [c14]F. J. Maldonado, Michael T. Manry:
A Pseudogenetic Algorithm for MLP Design based upon the Schmidt Procedure. Neural Networks and Computational Intelligence 2003: 197-202 - [c13]Jiang Li, Qilian Liang, Michael T. Manry:
Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm. PIMRC 2003: 730-734 - [c12]Jiang Li, Qilian Liang, Michael T. Manry, Tae-Hoon Kim:
A semiblind demodulator aided by protocols for wireless ATM network. PIMRC 2003: 2093-2097 - 2000
- [j20]Hema Chandrasekaran
Pruning of basis functions in nonlinear approximators. Neurocomputing 34(1-4): 29-53 (2000) - [j19]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): 47-56 (2000)
1990 – 1999
- 1999
- [j18]Hung-Han Chen, Michael T. Manry, Hema Chandrasekaran
A neural network training algorithm utilizing multiple sets of linear equations. Neurocomputing 25(1-3): 55-72 (1999) - [c11]Iyab I. Sakhnini
Iterative Improvement of trigonometric networks. IJCNN 1999: 1275-1280 - [c10]Hema Chandrasekaran, Michael T. Manry:
Convergent design of a piecewise linear neural network. IJCNN 1999: 1339-1344 - 1998
- [c9]Cheng-Hsiung Hsieh, Michael T. Manry, Ting-Cheng Chang:
Calculation of Cramer Rao maximum a posteriori lower bounds from training data. SMC 1998: 1691-1695 - 1997
- [j17]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): 57-67 (1997) - 1996
- [j16]Michael T. Manry, Steven J. Apollo, Qiang Yu:
Minimum mean square estimation and neural networks. Neurocomputing 13(1): 59-74 (1996) - 1995
- [j15]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): 1524-1530 (1995) - [c8]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: 3367-3369 - 1993
- [j14]Wei Gong, K. R. Rao
Progressive image transmission. IEEE Trans. Circuits Syst. Video Technol. 3(5): 380-383 (1993) - [j13]Mu-Song Chen, Michael T. Manry:
Conventional modeling of the multilayer perceptron using polynomial basis functions. IEEE Trans. Neural Networks 4(1): 164-166 (1993) - [j12]Yousuf Saifullah, Michael T. Manry:
Classification-based segmentation of ZIP codes. IEEE Trans. Syst. Man Cybern. 23(5): 1437-1443 (1993) - 1992
- [j11]Wei Gong, K. R. Rao, Michael T. Manry:
Progressive image transmission using a self-supervised back-propagation neural network. J. Electronic Imaging 1(1): 88-94 (1992) - [j10]Kamyar Rohani, Mu-Song Chen, Michael T. Manry:
Neural subnet design by direct polynomial mapping. IEEE Trans. Neural Networks 3(6): 1024-1026 (1992) - [j9]Hung-Chun Yau, Michael T. Manry:
Automatic determination of reject thresholds in classifiers employing discriminant functions. IEEE Trans. Signal Process. 40(3): 711-713 (1992) - [j8]Lars A. Anderson, Hung-Chun Yau, Michael T. Manry:
Recursive approximation of the energy spectral density. IEEE Trans. Signal Process. 40(12): 3059-3062 (1992) - [c7]Kamyar Rohani, Michael T. Manry:
Nonlinear neural network filters for image processing. ICASSP 1992: 373-376 - 1991
- [j7]Hung-Chun Yau, Michael T. Manry:
Iterative improvement of a nearest neighbor classifier. Neural Networks 4(4): 517-524 (1991) - 1990
- [j6]Hung-Chun Yau, Michael T. Manry:
Iterative improvement of a Gaussian classifier. Neural Networks 3(4): 437-443 (1990) - [j5]Phillip J. Thompson, Michael T. Manry:
A frequency domain weighting function approach to extrapolation. IEEE Trans. Acoust. Speech Signal Process. 38(8): 1395-1402 (1990) - [c6]Mu-Song Chen, Michael T. Manry:
Backpropagation representation theorem using power series. IJCNN 1990: 643-648 - [c5]Hung-Chun Yau, Michael T. Manry:
Sigma-pi implementation of a nearest neighbor classifier. IJCNN 1990: 667-672 - [c4]Hung-Chau Yau, Michael T. Manry:
Sigma-pi implementation of a Gaussian classifier. IJCNN 1990: 825-830
1980 – 1989
- 1989
- [j4]Chun-Chau Lin, Michael T. Manry:
A new signal averaging algorithm for discrete signals. IEEE Trans. Acoust. Speech Signal Process. 37(3): 340-345 (1989) - [j3]Songqing Shi, Michael T. Manry:
Phase improvement in IIR digital filters. IEEE Trans. Acoust. Speech Signal Process. 37(10): 1627-1631 (1989) - 1988
- [j2]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): 102-105 (1988) - [c3]Phillip J. Thompson, Michael T. Manry:
An efficient, noise tolerant, linear extrapolator. ICASSP 1988: 1750-1753 - 1987
- [c2]Michael T. Manry, C. T. Huddleston:
Parameter estimation using the autocorrelation of the discrete Fourier transform. ICASSP 1987: 1493-1496 - 1986
- [j1]Hsien-Chiang Lue, Michael T. Manry:
Efficient calculation of signal and noise variances. IEEE Trans. Acoust. Speech Signal Process. 34(4): 1002-1004 (1986) - 1984
- [c1]Michael T. Manry:
Parameter estimation algorithms utilizing implicit phase. ICASSP 1984: 197-199
Coauthor Index
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