(112 published/accepted)
2021 |2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1992 | 1991 | 1990 | 1989 | 1988 | 1987
2021
P. Chen, Y. Liang, X. Shi, L. Yang, P. D. Gader, “Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion“, Neurocomputing, January 2021, ISSN 0925-2312.
2020
P. Chen, X. Shia, Y. Liang, Y. Li, L. Yang, P. D. Gader, “Interactive thyroid whole slide image diagnostic system using deep representation“, Computer Methods and Programs in Biomedicine, Volume 195, October 2020, 105630.
Y. Zhou, E. Wetherley, P. D. Gader, “Unmixing urban hyperspectral imagery using probability distributions to represent endmember variability“, Remote Sensing of EnvironmentVolume 2461 September 2020Article 111857.
S. Meerdink, J. Bocinsky, A. Zare, N. Kroeger, C. McCurley, D. Shats, and P. D. Gader, “Multi-Target Multiple Instance Learning for Hyperspectral Target Detection“, arXiv:1909.03316 [eess.IV], March 2020.
2019
R. Fick, P. D. Gader, A. Zare, S. Meerdink, “Temporal Mapping of Hyperspectral Data”, 1-4.10.1109/WHISPERS.2019.8921373, December 2019.
S. Meerdink, J. Bocinsky, E. Wetherley, A. Zare, C. McCurley and P. D. Gader, “Developing Spectral Libraries Using Multiple Target Multiple Instance Adaptive Cosine/Coherence Estimator,” 1-5.10.1109/WHISPERS.2019.8920989, December 2019.
Y. Zhou, A. Rangarajan and P. D. Gader, “An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images”, IEEE Transactions on Geoscience and Remote Sensing, pp. 1-14, November 2019.
L. Freeman, S. Freeman, P. D. Gader, R. Fick, N. Kroeger, A. Thode, K. Thilges, L. Van Uffelen, S. Rowley, J, Schindall, A. Johnson, “Combined Passive Acoustic and Video Monitoring of Coral Reefs to Better Understand Reef Soundscapes and Multi-Species Interactions”, The Journal of the Acoustical Society of America, 146.2938-2938.101121/1.5137203, October 2019.
S. Meerdink, D. Roberts, K. Roth, J. King, P. D. Gader, and A. Koltunov, “Classifying California Plant Species Temporally Using Airborne Hyperspectral Imagery”, Remote Sensing of Environment, Volume 232, October 2019.
P. Dennison, Y. Qi, S. Meerdink, R. Kokaly, D. Thompson, C. Daughtry, M. Quemada, D. Roberts, P. D. Gader, E. Wetherley, I. Numata, K. Roth, “Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra”, Remote Sensing, September 2019.
S. Meerdink, D. Roberts, G. Hulley, P. D. Gader, J. Pisek, K. Adamson, J. King and S. Hook, “Plant Species’ Spectral Emissivity and Temperature using the Hyperspectral Thermal Emission Spectrometer (HyTES) Sensor. Remote Sensing of Environment”, Volume 224, pp. 421–435, April 2019.
2018
Zhou, A. Rangarajan and P. D. Gader, “A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing,” in IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2242-2256, May 2018.
M. Shuaibua, W. Lee, J. Schueller, P. D. Gader, Y. Hong, S. Kim, “Unsupervised hyperspectral band selection for apple Marssonina blotch detection“, Computers and Electronics in Agriculture, Volume 148, May 2018, Pages 45-53.
2017
Shuaib, W. Lee, P.D. Gader, J. Schueller, “Unsupervised Hyperspectral Band Selection for Apple Marssonina Blotch Detection,” Computers and Electronics in Agriculture. Sept. 2017.
2016
S. E. Yuksel, S. Kucuk and P. D. Gader, “SPICEE: An Extension of SPICE for Sparse Endmember Estimation in Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 12, pp. 1910-1914, Dec. 2016.
S. E. Yuksel and P. D. Gader, “Context-based classification via mixture of hidden Markov model experts with applications in landmine detection,” IET Computer Vision, vol. 10, no. 8, pp. 873-883, 12 2016.
Y. Zhou, A. Rangarajan, and P. D. Gader, “A spatial compositional model for linear unmixing and endmember uncertainty estimation”, IEEE Transactions on Image Processing, vol. 25, no. 12, (Dec. 2016), pp. 5987 – 6002,
L. Kalantari, P. D. Gader, S. Graves, S. Bohlman, “One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy“, IEEE Geoscience and Remote Sensing Letters 13.7 June 2016, 967-971.
R. Heylen, A. Zare, P. D. Gader and P. Scheunders, “Hyperspectral Unmixing With Endmember Variability via Alternating Angle Minimization,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 8, pp. 4983-4993, May 2016.
2015
S. Yuksel, J. Bolton, P. D. Gader, “Multiple Instance Hidden Markov Models with Applications to Landmine Detection”, IEEE Transactions Geoscience and Remote Sensing, vol. 53, no. 12, Dec. 2015
Nia, M. S., Wang, D. Z., Bohlman, S. A., P. D. Gader., Graves, S. J., & Petrovic, M. (2015), “Impact of atmospheric correction and image filtering on hyperspectral classification of tree species using support vector machine”.Journal of Applied Remote Sensing, 9(1), Nov. 2015.
T. Glenn, A. Zare, P. D. Gader, “Bayesian Fuzzy Clustering,” IEEE Transactions on Fuzzy Systems , vol. 23, no. 5, Oct. 2015.
R. Heylen, P. Scheunders, P. D. Gader, and A. Rangarajan, “Nonlinear unmixing by using different metrics in a linear unmixing chain”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.8, no.6, pp.2655-2664, June 2015.
2014
C. Yang, L. Suk, P. D. Gader. “Hyperspectral band selection for detecting different blueberry fruit maturity stages.” Computers and Electronics in Agriculture 109, November 2014, pp. 23-31.
R. Heylen, P. D. Gader, “Nonlinear Spectral Unmixing With a Linear Mixture of Intimate Mixtures Model,” IEEE Geoscience & Remote Sensing Letters, vol. 7, no. 11, pp:1195-1199, July 2014.
A. Zare, J. Bolton, J. Chanussot, P. Gader, “Foreword to the Special Issue on Hyperspectral Image and Signal Processing,” IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 1841-1843, June 2014.
R. Heylen, M. Parente, P. D. Gader, “A Review of Nonlinear Hyperspectral Unmixing Methods,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no. 6, pp. 1844-1868, June 2014.
X. Du, A. Zare, P. D. Gader, D. Dranishnikov, “Spatial and Spectral Unmixing Using the Beta Compositional Model,” IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, June 2014
R. Close; P. D. Gader; J. Wilson, “Hyperspectral unmixing using macroscopic and microscopic mixture models”, J. Appl. Remote Sens. 8 (1), 083642, April 2014; doi: 10.1117/1.JRS.8.08364
X. Zhang, J. Bolton, P. D. Gader, “A New Learning Method for Continuous Hidden Markov Models for Subsurface Landmine Detection in Ground Penetrating Radar,” IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.3, pp.813:819, March 2014
W. Ma, J. Bioucas-Dias, J. Chanussot, P. D. Gader, “Signal and Image Processing in Hyperspectral Remote Sensing [From the Guest Editors],” IEEE Signal Processing Magazine, vol.31, no. 1, pp. 22-23, Jan. 2014.
W. Ma, J. Bioucas-Dias, C. Tsung-Han, N. Gillis, P. D. Gader, A. Plaza, A. Ambikapathi, Chong-Yung Chi, “A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing,” IEEE Signal Processing Magazine, vol.31, no.1, pp.67,81, Jan. 2014.
2013
Alina Zare, P. D. Gader, O. Bchir, and H., Frigui “Piece-wise Convex Multiple Model Endmember Detection and Spectral Unmixing”, IEEE Trans. Geoscience and Remote Sensing, vol.. 51, no. 5, pp. 2853 – 2862, July, 2013.
Seniha Esen Yuksel, Thierry Dubroca, Rolf E. Hummel, and P D. Gader. “Differential reflection spectroscopy: A novel method for explosive detection.” Acta Phys. Pol. A 123, no. 2 (2013): 263-264.
Alina Zare, P. D. Gader, G. Casella, “Sampling Piece-wise Convex Unmixing and Endmember Extraction”, IEEE Trans. Geoscience and Remote Sensing, vol.51, no. 3, 2013 , pp. 1655-1665, March, 2013.
2012
Achmed Abdallah, H. Frigui, P. D. Gader, “Adaptive Local Fusion with Fuzzy Integrals”, IEEE Trans. Fuzzy Systems,vol. 20, no. 5,pp. 849-864, Oct. 2012.
S. Yuksel, J. Wilson, and P. D. Gader, “Twenty Years of Mixture of Experts”, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 8, p.1177-1193, May, 2012.
Alina Zare, P. D. Gader, and K. S. Gurumoorthy, “Directly Measuring Material Proportions Using Hyperspectral Compressive Sensing”, Geoscience and Remote Sensing Letters, vol.9, no.3, pp.323-327, May 2012
H. Frigui, L. Zhang, P. D. Gader, Joseph N. Wilson, K C Ho, and Andres Mendez-Vazquez “An Evaluation of Several Fusion Algorithms for Anti-tank Landmine Detection and Discrimination”, Information Fusion Vol. 13, Issue 2, April 2012, Pages 161–174.
J. Bioucas-Dias, A. Plaza, N. Dobigeon, M. Parente, Q. Due, P. D. Gader, J. Chanussot, “Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, No. 2, pp: 354 – 379, April, 2012.
2011
J. Bolton and P. D. Gader, “Application of Multiple Instance Learning for Hyperspectral Image Analysis”, Geoscience and Remote Sensing Letters, Vol. 8, No. 5, Sept. 2011, pp. 889-893.
J. Bolton, P. D. Gader, Hichem Frigui, Pete Torrione, “Random Set Framework for Multiple Instance Learning”, Journal of Information Sciences, Volume 181, Issue 11, 1 June 2011, Pages 2061-2070.
O. Missaoui, H. Frigui, and P. D. Gader, “Landmine Detection with Ground Penetrating Radar using Multi-Stream Discrete Hidden Markov Models”, IEEE Trans. Geoscience and Remote Sensing, Volume 49, Issue 6, June 2011, pp. 2080-2099
G. Heo, P. D. Gader, “Robust Kernel Discriminant Analysis using Fuzzy Memberships”, Pattern Recognition, Volume 44, Issue 3, March 2011, Pages 716-723.
2010
Alina Zare and P. D. Gader, “PCE: Piece-wise Convex Endmember Detection” IEEE Trans. Geoscience and Remote Sensing, Vol. 48, No. 6, June 2010, pp. 2620-2632.
H. Frigui, L. Zhang, P. D. Gader, “Context Dependent Multi-Sensor Fusion and its Application to Land Mine Detection”, IEEE Trans. Geoscience and Remote Sensing, Vol. 48, No. 6, June 2010, pp. 2528 – 2543.
G. Ramachandran, P. D. Gader, J. N. Wilson, “GRANMA: Gradient Angle Model Algorithm on Wideband EMI data for Landmine Detection”, Geoscience and Remote Sensing Letters, Vol. 7, No. 3, July 2010, pp. 535-539.
2009
J. Bolton, P. D. Gader, “Random Set Framework for Context-Based Classification with Hyperspectral Imagery”, IEEE Trans. Geoscience and Remote Sensing, Vol. 47, No. 11, Nov. 2009, Page(s): 3810-3821.
J. McElroy and P. D. Gader, “Generalized Encoding and Decoding Operators for Lattice Based Associative Memories” IEEE Transactions on Neural Networks, Vol. 20, No. 10, October 2009, Page(s): 1674-1679.
R. Mazhar, P. D. Gader, J. N. Wilson, “Matching Pursuits Dissimilarity Measure for Shape-Based Comparison and Classification of High-dimensional Data”, IEEE Trans. Fuzzy Systems, Vol. 17, No. 5, Oct. 2009, Page(s): 1175-1189.
G. Heo, P. D. Gader, and H. Frigui, “RKF-PCA: Robust kernel fuzzy PCA”, Neural Networks, Vol. 22, No. 5-6, July 2009, Page(s): 642-650.
H. Frigui and P. D. Gader, “Detection and discrimination of land mines in ground-penetrating radar based on edge histogram descriptors and a Possibilistic K-Nearest Neighbor Classifier”, IEEE Trans. Fuzzy Systems, Volume 17, Issue 9, March 2009, Page(s) 185-199.
2008
J. Bolton, P. D. Gader, J. N. Wilson, “Discrete Choquet Integral as a Distance Metric”, IEEE Trans. Fuzzy Systems Volume 16, Issue 4, Aug. 2008 Page(s):1107 – 1110.
Alina Zare and P. D. Gader, “Hyperspectral Band Selection and Endmember Detection Using Sparsity Promoting Priors”, IEEE Geoscience and Remote Sensing Letters, Vol. 5, No. 2, April 2008, pp. 256-261.
K. C. Ho, L. Carin, P. D. Gader, J. N. Wilson, “An Investigation of Using the Spectral Characteristics from Ground Penetrating Radar for Landmine/Clutter Discrimination”, IEEE Trans. Geoscience and Remote Sensing, Vol. 46, No. 4, April 2008, pp. 1177-1192.
Andres Mendez-Vazquez, P. D. Gader, J. M. Keller, K. Chamberlin, “Minimum Classification Error Training for Choquet Integrals with Applications to Landmine Detection”, IEEE Trans. Fuzzy Systems, Vol. 16, No. 1, Feb. 2008, pp. 225-239.
Alina Zare, J. Bolton, P. D. Gader, M. Schatten, “Vegetation Mapping for Landmine Detection Using Long-Wave Hyperspectral Imagery”, IEEE Trans. Geoscience and Remote Sensing, Volume 46, Issue 1, Jan. 2008, pp.:172 – 178.
2007
J. N. Wilson, P. D. Gader, W.-H. Lee, H. Frigui, and K. C. Ho, “A Large-Scale Systematic Evaluation of Algorithms Using Ground Penetrating Radar for Landmine Detection and Discrimination”, IEEE Trans. Geoscience and Remote Sensing, Vol. 45, No. 8, pp. 2560-2573, August 2007.
Alina Zare and P. D. Gader, “Sparsity Promoting Iterated Endmember Detection in Hyperspectral Imagery”, IEEE Geoscience and Remote Sensing Letters, Vol.4, No. 3, pp. 446-451, July 2007.
R. Joe Stanley, K.C. Ho, P.D.Gader, J. N. Wilson, James Devaney, “Land Mine and Clutter Object Discrimination Using Wavelet and Time Domain Spatially Distributed Features from Metal Detector and Their Fusion with GPR Features for Hand-Held Units”, Circuits Systems and Signal Processing, Vol. 26, No. 2, pp. 165-191, April 2007.
T. Wang, J. Keller, P. D. Gader, and O. Sjahputera, “Frequency Subband Processing and Feature Analysis of Forward-Looking Ground Penetrating Radar Signals for Land Mine Detection”, IEEE Trans Geoscience and Remote Sensing, Volume 45, Issue 3, pp. 718-729, March 2007.
W-H. Lee, P. D. Gader, J. N. Wilson, “Optimizing the Area under a Receiver Operating Characteristic Curve with Application to Landmine Detection”, IEEE Trans. Geoscience and Remote Sensing , vol. 45, No. 2, pp. 389-398, Feb. 2007.
2006
G. Ritter, P. D. Gader, “Fixed Points of Lattice Transforms and Lattice Associative Memories“, Advances in Imaging and Electron Physics, Volume 144, 2006, Pages 165-242.
M. Popescu, P. D. Gader, and J. M. Keller, “Fuzzy Spatial Pattern Processing Using Linguistic Hidden Markov Models”, IEEE Trans. Fuzzy Systems, Vol. 14, No. 1, pp. 81-92, Feb. 2006.
2005
H. Frigui, K.C. Ho and P. D. Gader , “Real-time Land Mine Detection with Ground Penetrating Radar using Discriminative and Adaptive Hidden Markov Models” EURASIP Journal on Applied Signal Processing, Vol. 2005, No. 12, pp. 1867-1885, July 2005.
2004
P. D. Gader, W-H Lee, J. N. Wilson, “Detecting Landmines with Ground Penetrating Radar using Feature-Based Rules Order Statistics, and Adaptive Whitening”, IEEE Trans. Geoscience and Remote Sensing, vol. 42, No. 11, pp. 2522-2534, Nov. 2004.
T. Wang, J. M. Keller, P. D. Gader, A. K. Hocaoglu, “Phase Signatures in Acoustic-Seismic Landmine Detection”, Radio Science, vol. 39, pp. RS4S02/1-13, July 2004.
K. C. Ho, L. M. Collins, L. G. Huettel, P. D. Gader, “Discrimination Mode Processing for EMI and GPR sensors for Hand-Held Land Mine Detection”, IEEE Trans. Geoscience and Remote Sensing, Vol. 42, No. 1, pp. 249-263, Jan. 2004.
2003
A. Hocaoglu, P. D. Gader, “Domain Learning Using Choquet Integral Based Morphological Shared Weight Neural Networks”, Journal of Image and Vision Computing, special issue on Computer Vision Beyond the Visible Spectrum, Vol. 21, No. 1, pp. 663-673, July 2003.
Y. Zhao, P. D. Gader, P. Chen, Y. Zhang, “Training DHMMs of mine and clutter to minimize landmine detection errors”, IEEE Trans. Geoscience and Remote Sensing, Vol. 41, No. 5, pp. 1016-1024, May 2003.
2002
J. Liu and P. D. Gader, “Neural Networks with Enhanced Outlier Rejection Ability for Off-Line Handwritten Word Recognition”, Pattern Recognition Vol. 35, No. 10, pp. 2061-2071, October, 2002.
D. DeKrugger, J. Hodge, J. C. Bezdek, J. M. Keller, and P. D. Gader, “Detecting Mobile Land Targets in LADAR Imagery with Fuzzy Algorithms”, Journal of Intelligent and Fuzzy Systems, Vol. 10, No. 3-4, pp. 197-213, October 2002.
R. J. Stanley, P. D. Gader, D. Ho, “Feature and decision level sensor fusion of electromagnetic induction and ground penetrating radar sensors for landmine detection with hand-held units”, Information Fusion 3(3):215-223, September 2002.
K. C. Ho and P. D. Gader, “A Linear Prediction Land Mine Detection Algorithm for Hand Held Ground Penetrating Radar”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 6, pp. 1374-1385, June, 2002.
Ali K. Hocaoglu, P. D. Gader, J. M. Keller, and B. N. Nelson, “Anti-Personnel Land Mine Detection and Discrimination using Acoustic Data”, Journal of Subsurface Sensing Technologies and Applications, Vol. 3, No. 2, pp. 75-93, April, 2002.
S. Auephanwirayakul, J. Keller, and P. D. Gader, “Generalized Choquet Fuzzy Integral Fusion”, Information Fusion, Vol. 3, No. 1, pp. 69-85, March 2002.
N. Theera-Umpon and P. D. Gader, “System-Level Training of Neural Networks for Counting White Blood Cells”, IEEE Trans. Systems, Man, and Cybernetics, Vol. 32, No. 1, pp. 48-54, February, 2002.
2001
N. Theera-Umpon, E. R. Dougherty, and P. D. Gader, “Non-Homothetic Granulometric Mixing Theory“, Pattern Recognition, Vol. 34, No. 12, pp.2547-2560, December 2001.
B. Verma, P. D. Gader and W. Chen, “Fusion of Multiple Handwritten Word Recognition Techniques”, Pattern Recognition Letters, Vol. 22, No. 9, pp. 991-998, July 2001.
P. D. Gader, M. Mystkowski, Y. Zhao “Landmine Detection with Ground Penetrating Radar using Hidden Markov Models,” IEEE Trans. Geoscience and Remote Sensing, Vol. 39, No. 6, pp. 1231-1244, June 2001.
P. D. Gader, James. M. Keller, Bruce N. Nelson, “Recognition Technology for the Detection of Buried Land Mines,” IEEE Trans. Fuzzy Systems, Vol. 9, No. 1, pp. 31-43, February 2001.
2000
P. D. Gader, B. Nelson, H. Frigui, G. Vaillette, J. Keller, “Fuzzy Logic Detection of Landmines with Ground Penetrating Radar,” Signal Processing, Special Issue on Fuzzy Logic in Signal Processing (Invited Paper), Vol. 80, No. 6, pp. 1069-1084, June 2000.
P. D. Gader, M. Khabou, and A. Koldobsky, “Morphological Regularization Neural Networks,” Pattern Recognition, Special Issue on Mathematical Morphology and Its Application, Vol. 33, No. 6, pp. 935-945, June 2000.
M. Khabou, P. D. Gader, and J. M. Keller, “LADAR Target Detection Using Morphological Shared-Weight Neural Networks”, Machine Vision and Applications, Vol. 11 No. 6, pp. 300-305, May 2000.
N. Theera-Umpon and P. D. Gader, “Counting White Blood Cells Using Morphological Granulometries“, Journal of Electronic Imaging, Vol. 9, No. 2, pp. 170-177, April 2000.
M. Mohamed and P. D. Gader, “Generalized Hidden Markov Models Part I: Theoretical Frameworks,” IEEE Trans. Fuzzy Systems, Vol. 8, No. 1, pp. 67-81, February 2000.
M. Khabou and P. D. Gader, “Automatic Target Detection using Entropy-Optimized Shared Weight Neural Networks, ” IEEE Trans. Neural Networks, Vol. 11, No. 1, pp. 186-194, January 2000.
1999
M. Popescu, P. D. Gader, J. M. Keller, C. Klein, J. Stanley, and C. Caldwell, “Automatic Karyotyping of Metaphase Cells with Overlapping Chromosomes,” Computers in Biology and Medicine, Vol. 29, No. 1, pp. 61-82, March 1999.
M. Khabou, P. D. Gader, H. Shi, “Entropy Optimized Morphological Shared-Weight Neural Networks,” Optical Engineering, Vol. 38, No. 2, pp. 263-273, Feb. 1999.
W. Chen, P. D. Gader, H. Shi, “Lexicon Driven Handwritten Word Recognition Using Optimal Linear Combinations of Order Statistics,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 21, No. 1, pp.77-83, Jan. 1999.
1998
R. Stanley, J. Keller, P. D. Gader, C. Caldwell,” Homologue Matching Applications: Recognition of Overlapped Chromosomes,” Pattern Analysis and Applications, Vol. 1, No. 4, pp. 206-217, 1998.
R. Stanley, J. Keller, P. D. Gader, C. Caldwell, “Data Driven Homologue Matching for Chromosome Identification,” IEEE Trans Medical Imaging, Vol. 17, No. 3, pp. 451-463, June 1998.
H. Shi, P. D. Gader, and W. Chen, “Fuzzy Integral Filters: Properties and Parallel Implementations,” Journal of Real-Time Imaging, Vol. 4, No. 2, pp. 233-241, April 1998.
H. Shi, P. D. Gader, and H. Li, “Parallel Mesh Algorithms for Grid Graph Shortest Paths with Application to Separation of Touching Chromosomes,” Journal of Supercomputing; Special Issue on High-Performance Computing and Applications in Computer Graphics, Image Processing and Computer Vision, Vol. 12, pp. 69-83, 1998.
1997
J. Chiang, P. D. Gader, “Hybrid Fuzzy-Neural Systems in Handwritten Word Recognition,” IEEE Trans. Fuzzy Systems, Vol. 5, No. 4, pp. 497-510, Nov. 1997.
Y. Won, P. D. Gader, and P. C. Coffield, “Shared-Weight Neural Networks based on Mathematical Morphology with Applications to Automatic Target Recognition,” IEEE Trans. Neural Networks, Vol. 8, No. 5, pp. 1195-1204, Sept. 1997.
P. D. Gader, J. M. Keller, R. Krishnapuram, J.H. Chiang, and M. Mohamed, “Neural and Fuzzy Methods in Handwriting Recognition,”IEEE Computer, Vol. 30, No. 2, pp. 79-86, Feb. 1997.
P. D. Gader, Magdi Mohamed, and Jung-Hsien Chiang, “Handwritten Word Recognition with Character and Inter-Character Neural Networks,” IEEE Trans. Sys. Man Cybernetics, Vol. 27, No. 1, pp. 158-165, Feb. 1997.
Jung-Hsien Chiang and P. D. Gader, “Recognition of Handprinted Numerals in VISA® Card Application Forms,” Machine Vision and Applications, Vol. 10, No. 3, pp. 144-149, Sept. 1997.
1996
P. D. Gader, and M.A. Khabou, “Automated Feature Generation for Handwritten Digit Recognition,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 18, No. 12, pp. 1256-1262, Dec. 1996.
P. D. Gader, M. Mohamed, and J. Keller, “Fusion of Handwritten Word Classifiers,” Pattern Recognition Letters, Special Issue on Fuzzy Pattern Recognition, Vol. 17, No. 6, pp. 577-584, May 1996.
M. Mohamed and P. D. Gader, “Handwritten Word Recognition Using Segmentation-Free Hidden Markov Modeling and Segmentation-Based Dynamic Programming Techniques,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 18, No. 5, pp. 548-554, May 1996.
P. D. Gader, M. Mohamed, and J. M. Keller, “Dynamic Programming Based Handwritten Word Recognition using the Choquet Fuzzy Integral as the Match Function,” Journal of Electronic Imaging, Special Issue on Digital Document Imaging, Vol. 5, No. 1, pp. 15-25, Jan 1996.
1995
P. D. Gader, J. Miramonti, Y. Won, and P. Coffield, “Segmentation Free Shared Weight Networks for Automatic Vehicle Detection,” Neural Networks, Vol. 8, No. 9, pp. 1457-1475, 1995.
P. D. Gader, M. Mohamed, and J. Chiang, “Comparison of Crisp and Fuzzy Character Neural Networks in Handwritten Word Recognition,” IEEE Trans. Fuzzy Systems., Vol. 3, No. 3, pp. 357-364, August 1995.
P. D. Gader, J. M. Keller, and J. Cai, “A Fuzzy Logic System for Detection and Recognition of Street Number Fields on Handwritten Postal Addresses,” IEEE Trans Fuzzy Systems, Vol. 3, No. 1, pp. 83-95, Feb 1995.
P. D. Gader, M. P. Whalen, M. J. Ganzberger, and Dan Hepp, “Handprinted Word Recognition on a NIST Data Set,” Machine Vision and Its Applications, Vol. 8, pp. 31-40, Jan. 1995.
1994
J. M. Keller, P. D. Gader, Hossein Tahani, Jung-Hsien Chiang, and Magdi Mohamed, “Advances in Fuzzy Integration for Pattern Recognition,” Fuzzy Sets and Systems, Vol. 65, pp. 273-283, 1994.
1992
S. Takriti and P. D. Gader, “Local Decompositions of Gray-Scale Morphological Templates,” Journal of Mathematical Imaging and Vision, Vol. 2, No. 1, pp. 39-50, 1992.
1991
P. D. Gader, B. Forester, M. Ganzberger, A. Gillies, B. Mitchell, M. Whalen, and T. Yocum, “Recognition of Handwritten Digits Using Template and Model Matching,” Journal of Pattern Recognition, Vol. 24, No. 5, pp. 421-431, 1991.
P. D. Gader, “Separable Decompositions and Approximations of Greyscale Morphological Templates,” Computer Vision, Graphics, and Image Processing-Image Understanding, Vol. 53, No. 3, pp. 288-296, May 1991.
G. Ammar and P. D. Gader, “A Variant of the Gohberg-Semencul Formula Involving Circulant Matrices,” SIAM Journal on Matrix Analysis and Applications, Vol. 12, No. 3, pp. 534-540, July 1991.
1990
P. D. Gader, “Displacement operator based decompositions of matrices using circulants or other group matrices,” Journal of Linear Algebra and Its Applications, Vol. 139, October 1990.
1989
P. D. Gader, “Bidiagonal Factorization of Fourier Matrices and Systolic Algorithms for Computing Discrete Fourier Transforms,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 8, August 1989.
P. D. Gader, “Necessary and Sufficient Conditions for the Existence of Local Matrix Decompositions,” SIAM Journal on Matrix Analysis and Applications, Vol. 9, No. 3, pp. 305-313, July 1989.
1988
P. D. Gader, “Tridiagonal factorizations of Fourier matrices and applications to parallel computations of discrete Fourier transforms,” Journal of Linear Algebra and its Applications, Vol. 102, pp. 1280-1283, April 1988.
1987
G. Ritter and P. D. Gader, “Image Algebra And Morphological Template Decomposition,” Journal of Parallel and Distributed Computing: Special Issue on Parallel Image Processing and Pattern Recognition (invited paper), Vol. 4, No. 5, pp. 7-44, March 1987.