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Image Processing and Neural Networks Lab

The Image Processing and Neural Networks Lab is focused on algorithm and software development for neural networks with applications in estimation and pattern recognition, feature extraction, feature selection, classification, disseminating research through publication, consulting, software distribution and in the training of graduate students.

Our focus areas include:

  • Development of advanced neural network training and pruning algorithms
  • Simultaneous training and validation of multiple networks
  • Feature selection for estimation and classification
  • Reduction of input and output redundancies
  • Network sizing
  • Neural Nets applications

Personnel

Michael Manry, Ph.D., Lab Director

Students

  • Rohit Rawat (Ph.D.)
  • Bito Irie (Ph.D.)
  • Melvin Robinson (Ph.D.)
  • Kanishka Tyagi (Ph.D.)
  • Son Nguyen (Ph.D.)
  • Gautam R Eapi (Ph.D.; Co-advised)
  • Yilong Hao (M.S.)

Alumni

  • Hung-Han Chen, Ph.D.; Now at BlueCross BlueShield
  • Cheng-Hsiung Hsieh, Ph.D.; Now at Chaoyang University of Technology
  • Hema Chandrasekaran, Ph.D.; Now at Lawrence Livermore National Lab
  • Francisco Maldonado, Ph.D.; Now at American GNC Corp.
  • Walter Delashmit, Ph.D.; Now at Lockheed, UNT
  • Changhua Yu, Ph.D.; Now at Abbott Labs
  • Jiang Li, Ph.D.; Now at Old Dominion University
  • Pramod L. Narasimha, Ph.D.; Now at Telnav
  • Sanjeev Malalur, Ph.D.; Now at O-Geo Well LLC
  • K. Rohani, Ph.D.; Now at Motorola
  • Steven Apollo, Ph.D.; Now at Lockheed Martin
  • Kyung Kim, Ph.D.; Now at Lockheed Martin
  • Mu-Song Chen, Ph.D.; Now at Dept. of Elec. Engr., Da-Yeh University
  • Kanagalu R. Manoj, Ph.D.; Now at Nortel Networks
  • Phillip Y. Thompson, Ph.D.; Now at Lockheed Martin
  • Hung-Chun Yau, Ph.D.; Now at Kaohsiung Polytechnic Institute
  • Wei Gong, Ph.D.; Now at Alcon Labs
  • B. Ware, Ph.D.; Now at Caltech/NASA Jet Propulsion Laboratories (JPL)
  • Tae-Hoon Kim, Ph.D.; Now at Korea Advanced Institute of Science and Technology
  • Li-Min Liu, Ph.D.; Now at Lite-On
  • J. H. Lin, Ph.D.
  • H. C. Chan, Ph.D.
  • Jeshwanth Challagundla, M.S.; Now at UHV Technologies
  • Soumitro Auddy, M.S.; Now at Microsoft Corp.
  • Aditi Godbole, M.S.; Now at Tech Mahindra
  • Kunal Vora, M.S.; Now at Jacobs Engineering
  • Jignesh Patel, M.S.
  • Bharadwaj Sridharan, M.S.
  • Vinodhan Natarajan, M.S.; Now at Philips Electronics N.V.
  • Abdul Abdurrab, M.S.; Now at Qualcomm
  • Saurabh Sureka, M.S.; Now at American GNC Corp.
  • Jimy Shah, M.S.; Now at Mathworks
  • Sayantani Pal, M.S.; Now at Click Forensics, Inc.
  • Babu Aswathappa, M.S.; Now at Intel
  • Madhu Gannapal, M.S.; Now at Topaz Labs
  • Praveen Jesudhas, M.S.; Now at ProdEX Technologies
  • Michael Futer, M.S.; Now at DRS Technologies
  • Kanishka Tyagi, M.S.
  • Robert Gore, M.S.; Now at Lockheed Martin
  • Pourna Chandra, M.S.; Now at Intel
  • Jesse Olvera, M.S.; Now at Raytheon
  • Zi-Qin Wang, M.S.; Now at Yotta Systems, Inc.
  • Lars A. Anderson, M.S.; Now at Texas Instruments
  • Jiang Xianping, M.S.; Now at The Megger Group Limited
  • Arun Gopalakrishnan, M.S.; Now at Nortel Networks
  • Chunchau Lin, M.S.; Now at Integrated Technology Inc.
  • David Ownby, M.S.; Now at Crystal Semiconductor
  • Yousuff Saifullah, M.S.; Now at Motorola Cellular Infrastructure Group
  • Paul Stanley, M.S.; Now at Cross Systems
  • R. Z. Khan, M.S.; Now at AT&T Bell Labs
  • Iyab Sakhinini, M.S.; Now at Qualcomm
  • Jaiganesh Vaidyalingam, M.S.; Now at SEI Investments
  • Chinniah Anand Poosapadi, M.S.; Now at LSI Corp.
  • Chaitanya Telidevara, M.S.; Now at QuadGen Wireless Solutions Inc.
  • Yoon Yong-June, M.S.; Now at Broadcom
  • H. C. Lue, M.S.
  • J. Li, M.S.
  • Q. Yu, M.S.
  • Saravanan Subbarayan, M.S.

Selected Publications

Journal Publications

  • M.T. Manry and J.K. Aggarwal, "Picture Processing Using One Dimensional Implementations of Discrete Planar Filters", IEEE Transactions on Acoustics, Speech, and Signal Processing, pp. 164 173, June 1974.
  • M.T. Manry and J.K. Aggarwal, "The Design of Multi Dimensional FIR Digital Filters by Phase Correction", IEEE Transactions on Circuits and Systems, pp. 185 199, April 1976.
  • M.T. Manry and J.K. Aggarwal, "The Measurement of Phase Distortion, Due to Filtering, in Digital Pictures", IEEE Transactions on Acoustics, Speech, and Signal Processing, pp. 534 541, December 1977.
  • M.T. Manry and J.K. Aggarwal, "Design and Implementation of Two Dimensional FIR Digital Filters With Non Rectangular Arrays", IEEE Transactions on Acoustics, Speech, and Signal Processing, pp. 314 318, August 1978.
  • M.T. Manry, "Signal Processing Using Implicit Phase," IEEE Transactions on Circuits and Systems, pp. 150 159, February 1985.
  • H.C. Lue and M.T. Manry, "Efficient Calculation of Signal and Noise Variances," IEEE Transactions on Acoustics, Speech, and Signal Processing, pp. 1002 1004, August 1986.
  • M.T. Manry, "Compound Filter Using the Circular Harmonic Expansion," Applied Optics, Vol. 26, No. 17, pp 3622 3627, September 1987.
  • H.C. Chan, M.T. Manry, and G.V. Kondraske, "Classification of Resistance to Passive Motion Using Minimum Probability of Error Criterion," Annals of Biomedical Engineering, Vol. 15, pp 579 590, 1987.
  • R.Z. Khan, L.A. Anderson, and M.T. Manry, "Taylor Series Approximation of the Energy Spectral Density," IEEE Transactions on Acoustics, Speech, and Signal Processing, pp 102 105, January 1988.
  • C.C. Lin and M.T. Manry, "A New Signal Averaging Algorithm for Discrete Signals," IEEE Transactions on Acoustics, Speech, and Signal Processing, pp 340 345, March 1989.
  • S.Q. Shi and M.T. Manry, "Phase Improvement in IIR Digital Filters," IEEE Transactions on Acoustics, Speech, and Signal Processing, pp 1627 1631, October 1989.
  • P.J. Thompson and M.T. Manry, "A Frequency Domain Weighting Function Approach to Extrapolation," IEEE ASSP Transactions, pp 1395 1402, August 1990.
  • H.C. Yau and M.T. Manry, "Iterative Improvement of a Gaussian Classifier," Neural Networks, Vol. 3, pp. 437 443, July 1990.
  • H.C. Yau and M.T. Manry, "Iterative Improvement of a Nearest Neighbor Classifier," Neural Networks, Vol. 4, Number 4, pp. 517 524, 1991.
  • W. Gong, K.R. Rao, and M.T. Manry, "Progressive Image Transmission Using Self Supervised Backpropagation Neural Network," Journal of Electronic Imaging, Vol. 1(1), pp. 88-94, January 1992.
  • H.C. Yau and M.T. Manry, "Automatic Determination of Reject Thresholds in Classifiers Employing Discriminant Functions," IEEE Signal Processing Transactions, Vol. 40, No. 4, pp. 711-713, March 1992.
  • K. Rohani, M.S. Chen and M.T. Manry, "Neural Subnet Design by Direct Polynomial Mapping," IEEE Transactions on Neural Networks, Vol. 3, no. 6, pp. 1024-1026, November 1992.
  • L.A. Anderson, H.C. Yau and M.T. Manry, "Recursive Approximation of the Energy Spectral Density," IEEE Signal Processing Transactions, Vol. 40, no. 12, pp. 3059-3062, December 1992.
  • M.S. Chen and M.T. Manry, "Conventional Modelling of the Multi-Layer Perceptron Using Polynomial Basis Functions," IEEE Transactions on Neural Networks, Vol. 4, no. 1, pp. 164-166, January 1993.
  • M.S. Dawson, A.K. Fung, and M.T. Manry, "Surface Parameter Retrieval Using Fast Learning Neural Networks," Remote Sensing Reviews, Vol. 7, pp. 1-18, 1993.
  • W. Gong, K.R. Rao, and M.T. Manry, "Progressive Image Transmission," IEEE Trans. on Circ. and Syst. for Video Technology, vol. 3, no. 6, October 1993, pp. 380-383.
  • Y. Saifullah and M.T. Manry, "Classification-Based Segmentation of ZIP Codes," IEEE Trans. on Systems, Man, and Cybernetics, vol. 23, no. 5, September/October 1993, pp.1437-1443.
  • X. Jiang, Mu-Song Chen, M.T. Manry, M.S. Dawson, A.K. Fung, "Analysis and Optimization of Neural Networks for Remote Sensing," Remote Sensing Reviews, vol. 9, pp. 97-114, 1994.
  • M.T. Manry, S.J. Apollo, L.S. Allen, W.D. Lyle, W. Gong, M.S. Dawson, and A.K. Fung, "Fast Training of Neural Networks for Remote Sensing," Remote Sensing Reviews, vol. 9, pp. 77-96, 1994.
  • W. Gong, H.C. Yau, and M.T. Manry, "Non Gaussian Feature Analyses Using a Neural Network," Progress in Neural Networks, vol. 2, 1994, pp. 253-269.
  • K. Rohani and M.T. Manry, "Multi-Layer Neural Network Design Based on a Modular Concept," Journal of Artificial Neural Networks, vol. 1, no. 3, 1994, pp. 349-370.
  • K. Liu, S. Subbarayan, R.R.Shoults, M.T.Manry, C.Kwan, F.L.Lewis, and J.Naccarino, "Comparison of Very Short Term Load Forecasting Techniques," IEEE Transactions on Power Systems, vol.11, no.2, May 1996, pp. 877 882.
  • W.E. Weideman, M.T. Manry, H.C. Yau, and W. Gong "Comparisons of a Neural Network and a Nearest Neighbor Classifier Via the Numeric Handprint Character Recognition Problem," IEEE Transactions on Neural Networks, Vol. 6, no. 6, pp. 1524-1530, November 1995.
  • M.T. Manry, S.J. Apollo, and Q. Yu, "Minimum Mean Square Estimation and Neural Networks," Neurocomputing, vol. 13, September 1996, pp. 59-74.
  • M.T. Manry, C-H Hsieh, S.J. Apollo, M.S. Dawson, and A.K. Fung, "Cramer-Rao Maximum a Posteriori Bounds for Non-Gaussian Signals and Parameters," International Journal of Intelligent Control and Systems, vol. 1, no. 3, 1996, pp. 381-391.
  • M.S. Dawson, A.K. Fung, and M.T. Manry, "A Robust Statistical based Estimator for Soil Moisture Retrieval from Radar Measurements," IEEE Transactions on Remote Sensing, vol. 35, no. 1, January 1997, pp. 57-67.
  • N.G. Waller, J.B. Illian, and M.T. Manry, "Cluster Analysis with Kohonen Neural Networks," Psychometrika, vol. 63, no. 1, 1998, pp. 5-22.
  • D.S. Kimes, R.F. Nelson, M.T. Manry, and A.K. Fung, "Attributes of Neural Networks for Extracting Continuous Vegetation Variables from Optical and Radar Measurements," International Journal of Remote Sensing, vol. 19, no. 14, 1998, pp. 2639-2663.
  • H-H Chen, M.T. Manry, and H. Chandrasekaran, "A Neural Network Training Algorithm utilizing Multiple Sets of Linear Equations," Neurocomputing, April 1999, vol. 25, pp. 55-72.
  • H. Chandrasekaran, H H Chen, and M.T. Manry, "Pruning of Basis Functions in Nonlinear Approximators, NeuroComputing, vol. 34, 2000, pp. 29 53.
  • M.T. Manry, "Neural Networks," an invited paper accepted by the Encyclopedia of Distributed Computing, Joseph Urban and Partha Dasgupta co-editors, Kluwer Academic Publishers.
  • Z Q Wang, M.T. Manry, and J. L. Schiano, "LMS Learning Algorithms: Misconceptions and New Results on Convergence," IEEE Transactions on Neural Networks, vol. 11, no. 1, January 2000, pp. 47 56.
  • M.T. Manry, H. Chandrasekaran, and C-H Hsieh, "Signal Processing Applications of the Multilayer Perceptron," book chapter in Handbook on Neural Network Signal Processing, edited by Yu Hen Hu and Jenq-Nenq Hwang, CRC Press, 2001.
  • Jiang Li, M.T. Manry, Randall Wilson, and Changhua Yu "Prototype Based Classifier Design with Pruning". International Journal on Artificial Intelligence Tools, 2005.
  • R.G. Gore, Jiang Li, Michael T. Manry, Li-Min Liu, Changhua Yu, and John Wei, "Iterative Design of Neural Network Classifiers through Regression". International Journal on Artificial Intelligence Tools, Vol. 14, Nos. 1&2 (2005) pp. 281-301.
  • Changhua Yu, Michael T. Manry, and Jiang Li, "Effects of nonsingular pre-processing on feed-forward network training ". International Journal of Pattern Recognition and Artificial Intelligence , Vol. 19, No. 2 (2005) pp. 217-247.
  • Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, and Amy K. Hara, “An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection,” special issue of the International Journal on Artificial Intelligence Tools (IJAIT), vol. 15, no. 6, December 2006, pp. 893-915.
  • Jiang Li, Michael T. Manry, Pramod Narasimha, and Changhua Yu, “Feature Selection Using a Piecewise Linear Network”, IEEE Trans. on Neural Networks, Vol. 17, no. 5, September 2006, pp. 1101-1115.
  • H. Chandrasekaran, Jiang Li, W.H. Delashmit, Pramod Narasimha, Changhua Yu and Michael T. Manry, “Convergent Design of Piecewise Linear Neural Networks”, NeuroComputing, vol. 70, October 2006, pp. 1022-1039.
  • Changhua Yu, Michael T. Manry, and Jiang Li, “An Efficient Hidden Layer Training Method for Multilayer Perceptron”, NeuroComputing, vol. 70, January 2007, pp. 29 53.
  • W.H. Delashmit and M.T. Manry, “A Neural Network Growing Algorithm that Ensures Monotonically Non Increasing Error”, Advances in Neural Networks, vol.14, August 2007, pp.280-284.
  • P. L. Narasimha, W.H. Delashmit, M.T. Manry, Jiang Li, and F. Maldonado, “An Integrated Growing-Pruning Method for Feedforward Network Training,” NeuroComputing, vol. 71, Spring 2008, pp. 2831-2847.
  • P. L. Narasimha, M.T. Manry, and F. Maldonado, “Upper Bound on Pattern Storage in Feedforward Networks,” NeuroComputing, vol. 71, October 2008, pp. 3612– 3616.
  • S. S. Malalur and M. T. Manry, “Training Feed-forward Networks Using Optimal Input Gains,” submitted to IEEE Trans. on Neural Networks., under revision.
  • P. Praveen Jesudhas, Sanjeev Malalur, and Michael T. Manry, Analysis and Improvement of Feed-forward network training With Complete Implementation, Lambert Academic Publishing, 2011. Book.
  • Al-Abed, Mohammad A., Behbehani, Khosrow, Manry, Michael T. , Processing and analyzing physiological signals to detect a health condition, Patent 7966061 Issued on June 21, 2011. Estimated Expiration Date: August 29, 2027
  • A. Yennu, F. Tian, H. Liu, R. Rawat, M. Manry, R. Gatchel, “A Preliminary Investigation of Human Frontal Cortex Under Noxious Thermal Stimulation Over the Temporomandibular Joint Using Functional Near Infrared Spectroscopy,” Journal of Applied Biobehavioral Research, September 2013, 18, 3, pp. 134–155.
  • S. S. Malalur, M. T. Manry, and P. Jesudhas “Multiple optimal learning factors for the multi-layer perceptron,” NeuroComputing, Volume 149, Part C, 3 February 2015, pp. 1490-1501.
  • Tanay Bhatt and Michael Manry "Receiver Technology On DSP For Next Generation Broadband, " International Journal of New Technologies in Science and Engineering (IJNTSE), Vol. 2, Issue. 2, August 2015.
  • Melvin D. Robinson, Michael T. Manry, Sanjeev S. Malalur, Changhua Yu, “Properties of a Batch Training Algorithm for Feedforward Networks,” Neural Processing Letters, 14 September 2016.
  • Rohit Rawat and Michael Manry, “Second Order Training of a Smoothed Piecewise Linear Network,” Neural Processing Letters, April 5, 2017, pp. 1-28.
  • Kanishka Tyagi and M.T. Manry, “Multi-step Training of a Generalized Linear Classifier,” Neural Processing Letters, September 2018, pp. 1-20.
  • Kanishka Tyagi, Son Nguyen, Rohit Rawat, and Michael Manry, “Second Order Training and Sizing for the Multilayer Perceptron,” Neural Processing Letters, October 8, 2019.
  • Kanishka Tyagi and Michael Manry,”Multistage Newton’s approach for training RBF neural networks,” Submitted to Neural Processing Letters, September 2016.
  • Son Nguyen and Michael T. Manry, “Balanced gradient training of Feedforward Networks,” Submitted to NeuroComputing, submitted to Neural Processing Letters, 2019.
  • Son Nguyen, Melvin D. Robinson, and Michael T. Manry, “Multistep Newton Training in Feedforward Neural Networks,” Submitted to NeuroComputing, October 2016.

Conference Proceedings and Presentations

  • M.T. Manry and J.K. Aggarwal, "The Design of Multi Dimensional FIR Digital Filters by Phase Correction", in Proc. 1975 IEEE International Symposium on Circuits and Systems, pp 441 442.
  • M.T. Manry and J.K. Aggarwal, "Phase Considerations in the Design of Two Dimensional Digital Filters", in Proc. Tenth Annual Asilomar Conference on Circuits, Systems, and Computers, November 22-24, 1976, pp. 148-152.
  • M.T. Manry and J.K. Aggarwal, "Design of Two Dimensional FIR Filters With Non Rectangular Coefficient Arrays", in Proc. 20th Midwest Symposium on Circuits and Systems, page 190.
  • M.T. Manry, "NML CSU Signal Processing", addition to "Well Logging and Formation Evaluation I." session of the 56th Annual Technical Conference and Exhibition of The Society of Petroleum Engineers, San Antonio Texas, October 1981.
  • M.T. Manry, "A Frequency Domain Measure of Position," in Proceedings of the 1983 IEEE Region Five Conference, April 1983, pp. 150-155.
  • M.T. Manry, "Parameter Estimation Algorithms Utilizing Implicit Phase," in Proc. 1984 International Conference on Acoustics, Speech, and Signal Processing, vol. 1, pp. 5.4.1 5.4.3.
  • R.Z. Khan and M.T. Manry, "Fast Approximation of the Energy Spectral Density," Conference Record of the Eighteenth Annual Asilomar Conference on Circuits, Systems, and Computers, Nov. 5 7, 1984, pp. 383 386.
  • C.C. Lin and M.T. Manry, "Fast Stacking of Phase Coherent Signals," Conference Record of the Eighteenth Annual Asilomar Conference on Circuits, Systems, and Computers, Nov. 5 7, 1984, pp. 387 390.
  • H.C. Lue and M.T. Manry, "Fast Estimation of Signal and Noise Variance," Conference Record of the Eighteenth Annual Asilomar Conference on Circuits, Systems, and Computers, Nov. 5 7, 1984, pp. 223 227.
  • Jenfeng Li and M.T. Manry, "Some Analyses of Flight Simulation Systems Employing Real Imagery," Proceedings of the SPIE Symposium on Optoelectronics and Laser Applications, January 1987, Los Angeles, Vol. 757, pp.76 83.
  • M.T. Manry, "Compound Circular Harmonic Filters," Proceedings of the SPIE Symposium on Optoelectronics and Laser Applications, January 1987, Los Angeles, Vol. 754, pp. 319 325.
  • M.T. Manry, "Spatial Light Modulator Constraints in Optical Processing," Paper number 17/4 in session 17 of the Conference Record for Southcon/87, a conference sponsored by IEEE Region 3, Atlanta, Georgia, March 24 26, 1987.
  • M.T. Manry and C.T. Huddleston, "Parameter Estimation Using the Autocorrelation of the Discrete Fourier Transform," Proceedings of the 1987 International Conference on Acoustics, Speech, and Signal Processing, April 1987, Dallas, Texas, pp. 35.5.1 35.5.4.
  • P.J. Thompson and M.T. Manry, "An Efficient, Noise Tolerant, Linear Extrapolator," Proceedings of ICASSP'88, New York City, pp. 1750 1753.
  • W.E. Weideman, M.T. Manry, and H.C. Yau, "A Comparison of a Nearest Neighbor Classifier and a Neural Network for Numeric Handprint Character Recognition," Proceedings of IJCNN 89, vol. I, pp. I 117 to I 120, Washington D.C., June 1989.
  • W. Gong and M.T. Manry, "Analysis of Non Gaussian Data Using a Neural Network," Proceedings of IJCNN 89, vol. II, p. II 576, Washington D.C., June 1989.
  • H.C. Yau and M.T. Manry, "Sigma Pi Implementation of a Nearest Neighbor Classifier," Proceedings of IJCNN 90, 6/17/90 to 6/21/90, San Diego, I 667 to I 672.
  • H.C. Yau and M.T. Manry, "Sigma Pi Implementation of a Gaussian Classifier," Proceedings of IJCNN 90, 6/17/90 to 6/21/90, San Diego, III 825 to III 830.
  • M.S. Chen and M.T. Manry, "Back Propagation Representation Theorem Using Power Series," Proceedings of IJCNN 90, 6/17/90 to 6/21/90, San Diego, I 643 to I 648.
  • M.S. Chen and M.T. Manry, "Implementation of Polynomial Discriminant Functions On Back Propagation Paradigm," Conference Record of Midcon 1990, Dallas, Texas, September 11 13, pp 414 417.
  • M.T. Manry, "Mapping Signal Processing Algorithms to Neural Networks," Invited Presentation to IEEE meeting at Rice University, October 16, 1990.
  • M.T. Manry, "Signal Processing Using Back-Propagation Neural Networks," Invited Presentation at Texas Systems Day, University of Texas at Austin, October 1990.
  • M.S. Chen and M.T. Manry, "Basis Vector Analyses of Back Propagation Neural Networks," Proceedings of the 34th Midwest Symposium on Circuits and Systems, Monterey, California, May 14 17 1991, vol. 1, pp 23-26.
  • M.S. Chen and M.T. Manry, "Power Series Analyses of Back Propagation Neural Networks," Proc. of IJCNN 91, 7/8/91 to 7/12/91, Seattle WA., pp. I 295 to I 300.
  • K. Rohani and M.T. Manry, "The Design of Multi Layer Perceptrons Using Building Blocks," Proc. of IJCNN 91, 7/8/91 to 7/12/91, Seattle WA., pp. II 497 to II 502.
  • H.C. Yau and M.T. Manry, "Shape Recognition Using Sigma Pi Neural Networks," Proc. of IJCNN 91, 7/8/91 to 7/12/91, Seattle WA., p. II A 934.
  • M.S. Chen and M.T. Manry, "Nonlinear Modelling of Back Propagation Neural Networks," Proc. of IJCNN 91, 7/8/91 to 7/12/91, Seattle WA., p. A 899.
  • K. Rohani, M.S. Chen and M.T. Manry, "Neural Sub Net Design via Mapping," Proc. of IJCNN 91, 7/8/91 to 7/12/91, Seattle WA., p. II A 987.
  • H.C. Yau and M.T. Manry, "Shape Recognition with Nearest Neighbor Isomorphic Network," Proceedings of the First IEEE SP Workshop on Neural Networks for Signal Processing, Princeton, New Jersey, Sept. 29 Oct. 2, 1991, pp. 246-255.
  • K. Rohani, M.S. Chen and M.T. Manry, "A Mapping Approach for Designing Neural Sub Nets," Proceedings of the First IEEE SP Workshop on Neural Networks for Signal Processing, Princeton, New Jersey, Sept. 29 Oct. 2, 1991, pp. 70-79.
  • Jianwei Xie and Michael T. Manry, "The Design of Pattern Classifiers for Segmented FLIR Imagery," presented at the Texas Symposium on Computer Vision, Graphics, and Image Processing, Austin Texas, Saturday, Oct 19, 1991.
  • Kamyar Rohani, Mu Song Chen and Michael T. Manry, "The Design of Multi Layer Perceptrons for Image Processing, Using Building Blocks," presented at the Texas Symposium on Computer Vision, Graphics, and Image Processing, Austin, Texas, Saturday, Oct 19, 1991.
  • W. Gong, K.R. Rao, and M.T. Manry, "Progressive Image Transmission Using Self Supervised Backpropagation Neural Network," Conference Record, Twenty Fifth Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 1991, vol. 2, pp. 1133-1137.
  • W. Gong, K.R. Rao, and M.T. Manry, "Vector Quantization and Progressive Image Transmission Using Kohonen Self Organizing Feature Map," Conference Record, Twenty Fifth Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 1991, vol. 1, pp. 477-481.
  • W. Gong, K.R. Rao, and M.T. Manry, "Image Transform Coding Using Self Supervised Backpropagation Neural Network," Conference Record, Twenty Fifth Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 1991, vol. 2, pp. 1146-1150.
  • M.T. Manry, "Analysis of Free Parameters in the Multi-Layer Perceptron," invited paper, Conference Record of Southcon/92, Orlando, Florida, March 1992, pp. 203-206.
  • K. Rohani and M.T. Manry, "Nonlinear Neural Network Filters for Image Processing," Proc. of ICASSP-92, San Francisco, March 23-26, 1992, vol. II, pp 373-376.
  • M.S. Dawson, A.K. Fung, M.T. Manry, "Sea Ice Classification Using Fast Learning Neural Networks," Proc. of IGARSS'92, Houston, Texas, May 1992, vol. II, pp 1070-1071.
  • M.S. Dawson, J. Olvera, A.K. Fung, M.T. Manry, "Inversion of Surface Parameters Using Fast Learning Neural Networks," Proc. of IGARSS'92, Houston, Texas, May 1992, vol. II, pp 910-912.
  • S.J. Apollo, M.T. Manry, L.S. Allen, and W.D. Lyle, "Optimality of Transforms for Parameter Estimation," Conference Record of the Twenty Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Oct. 1992, vol. 1, pp. 294-298.
  • M.T. Manry, X. Guan, S.J. Apollo, L.S. Allen, W.D. Lyle, and W. Gong, "Output Weight Optimization for the Multi-Layer Perceptron," Conference Record of the Twenty Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Oct. 1992, vol 1, pp. 502-506.
  • X. Jiang, Mu-Song Chen, and M.T. Manry, "Compact Polynomial Modeling of the Multi-Layer Perceptron," Conference Record of the Twenty Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Oct. 1992, vol 2, pp.791-795.
  • P.J. Thompson and Michael T. Manry, "Extrapolation of Non-bandlimited Signals," presented at Texas Systems Day, Dallas Texas, Saturday, Nov. 7, 1992.
  • J. Olvera, X. Guan and M.T. Manry, "Theory of Monomial Networks," Proceedings of SINS'92, Automation and Robotics Research Institute, Fort Worth, Texas, pp. 96-101, December 1992.
  • R.R. Bailey, E.J. Pettit, R.T. Borochoff, M.T. Manry, and X. Jiang, "Automatic Recognition of USGS Land Use/Cover Categories Using Statistical and Neural Network Classifiers," Proceedings of SPIE OE/Aerospace and Remote Sensing, April 12-16, 1993, Orlando Florida.
  • M.S. Dawson, A.K. Fung, M.T. Manry, "Classification of SSM/I Polar Sea Ice Data Using Neural Networks," Proc. of PIERS 93, 1993, p. 572.
  • F. Amar, M.S. Dawson, A.K. Fung, M.T. Manry, "Analysis of Scattering and Inversion From Forest," Proc. of PIERS 93, 1993, p. 162.
  • Q. Yu, S.J. Apollo, and M.T. Manry, "MAP Estimation and the Multilayer Perceptron," Proceedings of the 1993 IEEE Workshop on Neural Networks for Signal Processing, Linthicum Heights, Maryland, Sept. 6-9, 1993, pp. 30-39.
  • A. Gopalakrishnan, X. Jiang, M-S Chen, and M.T. Manry, "Constructive Proof of Efficient Pattern storage in the Multilayer Perceptron," Conference Record of the Twenty Seventh Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 1993, vol. 1, pp. 386-390.
  • M.T. Manry, L.M. Liu, F. Amar, M.S. Dawson and A.K. Fung, "Image Classification in Remote Sensing Using Functional Link Neural Networks," Proc. of the IEEE Southwest Symposium on Image Analysis and Interpretation, April 1994, pp. 54-58.
  • L-M Liu, M.T. Manry, F. Amar, M.S. Dawson, and A.K. Fung, "Iterative Improvement of Image Classifiers Using Relaxation," Conference Record of the Twenty Eighth Annual Asilomar Conference on Signals, Systems, and Computers, vol. 2, 10/31/94 to 11/2/94, pp.902-906.
  • W. Liang, M.T. Manry, Q. Yu, S.J. Apollo, M.S. Dawson, and A.K. Fung, "Bounding the Performance of Neural Network Estimators, Given Only a Set of Training Data," Conference Record of the Twenty Eighth Annual Asilomar Conference on Signals, Systems, and Computers, vol. 2, 10/31/94 to 11/2/94, pp.912-916.
  • W. Liang, M.T. Manry, Q. Yu, S.J. Apollo, M.S. Dawson, and A.K. Fung, "Bounding the Performance of Neural Network Estimators, Given Only a Set of Training Data," presentation at Workshop on Fuzzy Intelligent Neural Systems 94 (FINS'94), December 11 and 12, 1994, Automation and Robotics Research Institute.
  • W. Liang, M.T. Manry, S.J. Apollo, M.S. Dawson, and A.K. Fung, "Stochastic Cramer Rao Bounds for Non-Gaussian Signals and Parameters," Proceedings of ICASSP-95, vol. 5, May 1995, pp. 3367-3369.
  • M.S. Dawson, M.T. Manry, and A.K. Fung, "Information Retrieval from Remotely Sensed Data and a Method to Remove Parameter Estimator Ambiguity," Proc. of IGARSS'95, Firenze, Italy, July 10-14 1995, vol. 1, pp 691-693.
  • F. Amar, M.S. Dawson, M.T. Manry, A.K. Fung, and K.S. Chen, "Comparison of Neural Network Algorithms Applicable to Remote Sensing Disciplines," Proc. of IGARSS'95, Firenze, Italy, July 10-14 1995.
  • K. Liu, S. Subbarayan, R.R. Shoults, M.T. Manry C. Kwan, F.L. Lewis, and J. Naccarino, "Comparison of Very Short Term Load Forecasting Techniques," IEEE Power Engineering Society Summer Meeting, Portland, OR, 1995.
  • M.T. Manry, "A Self Organizing System for the Development of Neural Network Parameter Estimators," IEEE Workshop on Neural Networks for Signal Processing (NNSP'95) Cambridge, Mass., USA, Aug. 31 Sept. 2, 1995, pp. 105-114.
  • P.J. Thompson and M.T. Manry, "Unification of Signal Reconstruction Algorithms Using Bandwidth Metric Reconstruction," Conference Record of the Twenty Ninth Annual Asilomar Conference on Signals, Systems, and Computers, 10/29/95 to 11/1/95.
  • K.K. Kim and M.T. Manry, "A Complexity Algorithm for Estimating the Size of the Multilayer Perceptron," Conference Record of the Twenty Ninth Annual Asilomar Conference on Signals, Systems, and Computers, 10/29/95 to 11/1/95, vol. 2, pp 899-903.
  • F. Amar, M.S. Dawson, A.K. Fung, and M.T. Manry, "Extraction of Biomass from SAR Data: A Realistic Approach," Proc. of IGARSS'96, Lincoln, Nebraska, May 27-31 1996.
  • M.T. Manry, R. Shoults, and J. Naccarino, "An Automated System for Developing Neural Network Short Term Load Forecasters," Proceedings of the 58th American Power Conference, Chicago, Ill., April 9-11, 1996, vol. 1, pp. 237-241.
  • P.J. Thompson, M.T. Manry, and H-H Chen, "Signal Reconstruction Through Minimization of a Bandwidth Metric," Conference Record of the Thirtieth Annual Asilomar Conference on Signals, Systems, and Computers, 11/3/96 to 11/6/96, vol. 2, pp. 1098-1103.
  • C H Hsieh, M. T. Manry, and H H Chen, "Cramer Rao Maximum A Posteriori Bounds for a Finite Number of Non Gaussian Parameters" Conference Record of the Thirtieth Annual Asilomar Conference on Signals, Systems, and Computers, 11/3/96 to 11/6/96, vol. 2, pp. 1161-1165.
  • H H Chen, and M.T. Manry, "A Neural Network Training Algorithm Utilizing Multiple Sets of Linear Equations," Conference Record of the Thirtieth Annual Asilomar Conference on Signals, Systems, and Computers, 11/3/96 to 11/6/96, vol. 2, pp. 1166-1170.
  • S. Subbarayan, K.K. Kim, M.T. Manry, V. Devarajan, and H-H Chen, "Modular Neural Network Architecture Using Piece wise Linear Mapping," Conference Record of the Thirtieth Annual Asilomar Conference on Signals, Systems, and Computers, 11/3/96 to 11/6/96, vol. 2, pp. 1171-1175.
  • T-H Kim, V. Devarajan, and M.T. Manry, "Road Extraction from Aerial Images Using Neural Networks," Proceedings of the 1997 ACS/ASPRS Annual Convention, April 4-7, 1997, Seattle Washington, pp. 146-154.
  • M.T. Manry ,C. Subramanian, and J. Naccarino, "Reservoir Inflow Forecasting Using Neural Networks," Proceedings of the 61st American Power Conference, Chicago, Ill., April 6-8, 1999, vol. 1, pp. 237-241.
  • I.I. Sakhnini, M.T. Manry, and H. Chandrasekaran, "Iterative Improvement of Trigonometric Networks," Proceedings of IJCNN'99 , pp. 1275-1280.
  • H. Chandrasekaran and M.T. Manry, "Convergent Design of a Piecewise Linear Neural Network," Proceedings of IJCNN'99., pp. 1339-1344.
  • H. Chandrasekaran, K. Kim, and M.T. Manry, "Sizing of the Multilayer Perceptron via Modular Networks," Proceedings of NNSP'99, August 23-25, 1999, Madison, Wisconsin, pp. 215-224.
  • C-H Hsieh, M.T. Manry, and H. Chandrasekaran, "Near-Optimal Flight Load Synthesis Using Neural Networks," Proceedings of NNSP'99, August 23-25, 1999, Madison, Wisconsin, pp. 535-544.
  • F. J. Maldonado and M.T. Manry, "Optimal Pruning of Feed Forward Neural Networks Using the Schmidt Procedure", Conference Record of the Thirty Sixth Annual Asilomar Conference on Signals, Systems, and Computers., November 2002, pp. 1024-1028.
  • C. Yu and M.T. Manry, "A Modified Hidden Weight Optimization Algorithm for Feed Forward Neural Networks," Conference Record of the Thirty Sixth Annual Asilomar Conference on Signals, Systems, and Computers, November 2002, pp. 1034-1038.
  • W. H. Delashmit and M.T. Manry, "Enhanced Robustness of Multilayer Perceptron Training," Conference Record of the Thirty Sixth Annual Asilomar Conference on Signals, Systems, and Computers, November 2002, pp. 1029-1033.
  • Tae-Hoon Kim, Jiang Li, and M.T. Manry, "Evaluation and improvement of two training algorithms," Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems, and Computers, Volume: 2 , Nov. 3-6, 2002, pp. 1019 -1023.
  • Jiang Li, Dongdong Li, Jaber A. Khoja, Qilian Liang, Michael T. Manry and Vasant K. Prabhu, "Overcoming Co channel Interference in TDMA Systems Using SOM Equalizer," Proc. 2003 IEEE Radio and Wireless Conference (RAWCON 2003), Aug. 10-13, 2003, pp. 123 -126
  • Jiang Li, Qilian Liang, and Michael. T. Manry, "Adaptive Channel Equalization for Satellite Communications with Multipath Based on Unsupervised Learning Algorithm". Proc. of 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC2003, Vol. 1, pp. 730 – 734, 2003.
  • Jiang Li, Qilian Liang, Michael T. Manry, and Tae-Hoon Kim, "A Semi-Blind Demodulator Aided by Protocols for Wireless ATM Network", Proc. 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC2003, Vol. 3, pp. 2093-2097, 2003.
  • F.J. Maldonado, M.T. Manry, “A Pseudogenetic Algorithm For MLP design based upon the Schmidt Procedure,” in Proc. of the IASTED International Conference Neural Networks and Computational Intelligence, Cancun México, May 19-21, 2003, pp. 197-202.
  • F. J. Maldonado, M. T. Manry, and Tae-Hoon Kim, "Finding Optimal Neural Network Basis Function Subsets Using the Schmidt Procedure," Proc. of IJCNN'03. , pp. 444-449.
  • Tae-Hoon Kim, Michael T. Manry, and Javier Maldonado, "New Learning Factor and Testing Methods for Conjugate Gradient Training," Proc. of IJCNN'03, vol. 3, pp. 2011-2016.
  • Walter H. Delashmit, M. T. Manry, "New Training Algorithms for Dependently Initialized Multilayer Perceptrons, Conference Record of the Thirty Seventh Annual Asilomar Conference on Signals, Systems, and Computers, November 2003, pp. 581-585.
  • Jiang Li, Michael T. Manry, Li-Min Liu, Changhua Yu, and John Wei, “Iterative Improvement of Neural Classifiers”, Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004, pp. 700-705.
  • Jiang Li, Michael T. Manry, and Changhua Yu, “Prototype Based Classifier Design with Pruning”, Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004, pp. 706-711.
  • Jiang Li, Qilian Liang, and Michael. T. Manry, “Demodulation for Wireless ATM Network Using Modified SOM Network”, Proceedings of ICASSP 2004. Vo. 5, pp. 669-672, May 2004.
  • Changhua Yu, Michael T. Manry, and Jiang Li, “Invariance of MLP Training to Input Feature De-correlation”, Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004, pp. 682-687.
  • Changhua Yu, Michael T. Manry, and Jiang Li, “Hidden Layer Training via Hessian Matrix Information", Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004, pp. 688-693.
  • Changhua Yu and Michael T. Manry, “A Hessian Matrix Approach for Training Nonlinear Networks, ", to appear in Proceedings of the Seventh International Conference on Signal Processing (ICSP'04), Aug. 31 - Sep. 4, 2004, Beijing, China.
  • Jiang Li, Qilian Liang, and Michael. T. Manry, “Co-channel Interference Suppression with
  • Model Simplification in TDMA Systems”, accepted by Globecom 2004, Dallas, Texas.
  • Sanjeev Malalur, Pramod Lakshmi Narasimha, and M.T. Manry, " A Pseudo-spectral Fusion Approach to Fingerprint Matching," accepted by the Thirty-Eighth Asilomar Conference on Signals, Systems, and Computers, November 2004, Pacific Grove, California.
  • F.J. Maldonado, M.T. Manry, “Pseudogenetic Algorithms For MLP design based upon the Schmidt Procedure,” accepted by ELECTRO 2004.
  • W. H. Delashmit and M.T. Manry, ”Recent Developments in Multilayer Perceptron Neural Networks,” invited paper in Proc. Memphis Area Engineering and Science (MAESC) Conference 2005.
  • P.L. Narasimha, Michael T. Manry, and Changhua Yu, “Nonlinear Network Time-Series Forecasting Using Redundancy Reduction”, Proceedings of the Eighteenth International Conference of the Florida AI Research Society, May 2005.
  • Changhua Yu, Michael T. Manry, and P.L. Narasimha, “Sensitivity of Nonlinear Network Training to Affine Transformed Inputs”, Proceedings of the Eighteenth International Conference of the Florida AI Research Society, May 2005.
  • Pramod Lakshmi Narasimha, Walter Delashmit, Michael Manry, Jiang Li and Francisco Maldonado, “Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks”, Proceedings of the Nineteenth International Conference of the Florida AI Research Society, May 2006.
  • M. Al-Abed, K. Behbehani, M. Manry, J. Burk, and E. Lucas. “A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability,” Conference Proceedings, 28th Annual International Conference of IEEE-EMBS, Volume Supplement, Aug. 30 2006-Sept. 3 2006.
  • Pramod L. Narasimha, Zhanfeng Yue, Kamesh Subbarao, Michael T. Manry, Pankaj Topiwala, "Real-Time Object-Based Image Registration Using Improved MRAN" , SPIE Defense and Security Symposium '07, June 2007.
  • Al-Abed, M.; Manry, M.; Burk, J.R.; Lucas, E.A.; Behbehani, K. “A method to detect obstructive sleep apnea using neural network classification of time-frequency plots of the heart rate variability,” Conference Proceedings, 29th Annual International Conference of IEEE-EMBS, 22-26 Aug. 2007, p6101-6104.
  • S. Sureka and M. T. Manry, “A Functional Link Network With Ordered Basis Functions, Proc. of IJCNN'07, Orlando, August 12-17, 2007.
  • A. A. Abdurrab, M. T. Manry, J. Li, S. S. Malalur and R. G. Gore, “A Piecewise Linear Network Classifier, Proc. of IJCNN'07, Orlando, August 12-17, 2007.
  • P.L. Narasimha, M. T. Manry, and F. Maldonado, “Upper Bound on Pattern Storage in Feedforward Networks,” Proc. of IJCNN'07, Orlando, August 12-17, 2007.
  • P.L. Narasimha, S. Sureka and M. T. Manry, “Modified MRAN Based Time-Series Forecasting,” Proc. of IJCNN'07, Orlando, August 12-17, 2007.
  • K. Alkharabsheh, W. Xiao, F. Lewis, and M.T. Manry, “Target Tracking and Interception in Wireless Sensor Networks with Compensation of Communication Delay,” Proceedings of ICICS 2007, Singapore, December 2007.
  • Al-Abed, Mohammad; Behbehani, Khosrow; Burk, John R.; Lucas, Edgar A.; Manry, Michael. “Cross correlation and scatter plots of the heart rate variability and R-peak Envelope as features in the detection of obstructive sleep apnea,” Conference Proceedings, 30th Annual International Conference of the IEEE-EMBS, 20-25 Aug. 2008, p3488 - 3491.
  • Al-Abed M, Behbehani K, Manry M, Burk J.R, and Lucas E.A, “Detection of Obstructive Sleep Apnea Using Neural Network Classification of Wavelet Plots of Heart Rate Variability,” Biomedical Engineering Recent Developments, Nazeran H, Goldman M, and Schophorester R, Editors, Proceedings of 24th Southern Biomedical Engineering Conference, pp 21-22, 2008.
  • Al-Abed M, Behbehani K, Manry M, Burk J.R, and Lucas E.A, “Detection of Obstructive Sleep Apnea Using Neural Network Classification of Time-Frequency Plots of R-Wave Envelope,” Biomedical Engineering Recent Developments, Nazeran H, Goldman M, and Schophorester R, Editors, Proceedings of 24th Southern Biomedical Engineering Conference, pp 22-23, 2008.
  • J. Li, Y. Shen, M.T. Manry, and F. Maldonado, “An Efficient Feature Selection Algorithm for Classification, Proc. of ICPR 2008, Tampa, Florida, December 8-11, 2008.
  • Hung-Han Chen and Michael T. Manry, “Improving Healthcare Predictive Modeling using NeuroSequences”, to appear in the Proceedings of the 16th Federal Forecasters Conference, Thursday, April 24, 2008, Washington, DC.
  • P.L. Narasimha, S. Malalur, and M.T. Manry, “Small Models of Large Machines,” Proceedings of the TwentyFirst International Conference of the Florida AI Research Society, May 2008, pp.83-88.
  • S. S. Malalur and M. T. Manry, “Feedforward Network Training Using Optimal Input Gains,” Proc. of IJCNN'09, Atlanta, Georgia, June 14-19, 2009, pp. 1953-1960.
  • C. Saravanan, S Malalur, M. T. Manry, “Fingerprint Feature Compression using Statistical Coding Techniques”, Proceedings of Indicon 2009 (An IEEE Conference), December 18-20 .
  • S. S. Malalur and M. T. Manry, “Multiple optimal learning factors for feed-forward networks,” Proc. of SPIE: Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, Orlando Florida, April 7-9, 2010, vol. 7703pp. 77030F-1 – 77030F-12.
  • B. H. K Aswathappa, M.T. Manry and R. Rawat, “Optimal Output Gain Algorithm for Feed-Forward Network Training,” IJCNN'11, San Jose California, June 14-19, 2011, pp. 2609-2616.
  • P. Jesudhas, M.T. Manry and R. Rawat, “Analysis and Improvement of Multiple Optimal Learning Factors for Feed-Forward Networks,” accepted by IJCNN'11, San Jose California, June 14-19, 2011.
  • Xun Cai, K. Tyagi and M.T. Manry, “An Optimal Construction and Training Algorithm for Radial Basis Neural Network based on second Order Algorithm,” Proceedings of IJCNN'11, San Jose California, June 14-19, 2011, pp. 3120-3126.
  • K. Tyagi, Xun Cai, and M.T. Manry, “Fuzzy C-Mean Clustering based Construction and Training for Second Order RBF Neural Network,” Proceedings of 2011 IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, June 27-30, 2011, pp. 248-255.
  • M.T. Manry, and K. Tyagi, “Training Multilayer PerceptronBy Using Optimal Input Normalization,” accepted by 2011 IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, June 27-30, 2011.
  • Tanay Bhatt, and M. Manry, “Receiver Technology on DSP for Next Generation Broadband,” Proceedings of The 13th annual IEEE Wireless and Microwave Technology Conference, 2012.
  • Amarnath S. Yennu, Rohit Rawat, Mayur Jadhav, Michael T. Manry, and Hanli Liu, “Investigation of human frontal cortex under noxious thermal stimulation of temporomandibular joint using functional near infrared spectroscopy,” SPIE, Photonics West, BiOS Biomedical Optics Symposium, paper 8578-4, Feb. 2-7, 2013, San Francisco, California.
  • M.D. Robinson, M.T. Manry, “Two-Stage Second Order Training in Feedforward Neural Networks,” Proceedings of the TwentySixth International Conference of the Florida AI Research Society, May 2013.
  • G.R. Eapi, M.T. Manry, and M. Sattler, “Comprehensive Ozone Forecasting Model Using Neural Networks,” Proceedings of the 106th Annual Conference of the Air and Waste Management Association (AWMA), Chicago Illinois, June 2013.
  • R. Rawat, J. K. Patel, M. T. Manry, “Minimizing Validation Error With Respect to Network Size and Number of Training Epochs,” Proceedings of International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, 2013, pp 1508-1514.
  • M.D. Robinson, M.T. Manry, “Partially Affine Invariant Training Using Dense Transform Matrices,” Proceedings of International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, 2013, pp 1470-1475.
  • A. Godbole, K. Tyagi and M.T. Manry, “Neural Decision Directed Segmentation of Silicon Defects,” Proceedings of International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, 2013.
  • Xun Cai, K. Tyagi, and M. Manry, “An Efficient Conjugate Gradient based Multiple Optimal Learning Factors Algorithm of Multilayer Perceptron Neural Network,” International Joint Conference on Neural Networks, 6-11 July 2014.
  • K Tyagi, N Kwak, and M Manry, “Optimal Conjugate Gradient algorithm for generalization of Linear Discriminant Analysis based on L1 norm, International Conference on Pattern Recognition, 6-8 March 2014.
  • R. Rawat, Kunal Vora, M. Manry, and Gautam Eapi, “Multi-Variable Neural Network Forecasting Using Two-Stage Feature Selection,” Proceedings of the International Conference on Machine Learning and Applications, Detroit, MI, December 3-6, 2014.
  • Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen and Michael Manry, “Discriminant Vector Tranformations in Neural Network Classifiers”, Proceedings of IJCNN’2016, July 2016, Vancouver, pp. 1780-1786.
  • Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah and Michael Manry, “Partially Affine Invariant Back Propagation”, Proceedings of IJCNN’2016, July 2016, Vancouver, pp. 811-818.
  • Yilong Hao, Kanishka Tyagi, Rohit Rawat and Michael Manry, “Second Order Design of Multiclass Kernel Machines”, Proceedings of IJCNN’2016, July 2016, Vancouver, pp. 3233-3240.
  • Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen and Michael T. Manry, “Structural adaptation for sparsely connected MLP using Newton’s method,”, Proceedings of IJCNN’2017, May 14-19 2017, Anchorage Alaska.
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