Topics
Algorithms for Imaging Spectroscopy aka Hyperspectral Image AnalysisHandwriting Recognition
Landmine Detection
Pattern Recognition and Machine Learning
Image and Signal Analysis
Linear Algebra
Imaging Spectroscopy Algorithms
a.k.a
Hyperspectral Image Analysis
Y. Zhou, A. Rangarajan, and P. D. Gader, “A spatial compositional model for linear unmixing and endmember uncertainty estimation”, IEEE Transactions on Image Processing (accepted for publication).
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 (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, Aug. 2016.
Nia, M. S., Wang, D. Z., Bohlman, S. A., Gader, P., 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.
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.
Rob
Heylen and 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.D.
Gader, “Foreword to the Special Issue on Hyperspectral Image and Signal
Processing,” IEEE Journal of Selected 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,
Article #2320576, June 2014.
Xiaoxiao
Du, A. Zare, P.D. Gader, D.
Dranishnikov, “Spatial and Spectral Unmixing Using the Beta Compositional
Model,” IEEE Journal of Selected 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.
Wing-Kin Ma, J.M. 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.
Wing-Kin Ma, J.M. 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.
Ma, W.-K.; Bioucas-Dias, J.M.; Tsung-Han Chan; Gillis, N.; P. D. Gader, P.; Plaza, A.J.; Ambikapathi, A.; 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.
Yang,
Ce, Won Suk Lee, and P. D. Gader.
"Hyperspectral band selection for detecting different blueberry fruit
maturity stages." Computers and Electronics in Agriculture 109 (2014):
23-31.
Alina
Zare, P. D. Gader, O. Bchir, and H., “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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
Handwriting Recognition
Jinhui 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.
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.
M. Mohamed and P.
D. Gader, “Generalized Hidden Markov Models Part II: Applications to Handwritten Word
Recognition,” IEEE Trans. Fuzzy Systems,
Vol. 8, No. 1, pp. 82-95, February 2000.
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.
J. Chiang and P.
D. Gader, “Hybrid Fuzzy-Neural Systems in Handwritten Word Recognition,” IEEE Trans. Fuzzy Systems, Vol. 5, No.
4, pp. 497-510, Nov. 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.
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.
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.
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.
Landmine Detection
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
Xuping
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 of Selected Topics in
Applied Earth Observations and Remote Sensing, vol.7, no.3, pp.813:819,
March 2014.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Pattern Recognition and Machine Learning
T. Glenn, A. Zare, P. D. Gader, "Bayesian Fuzzy Clustering," IEEE
Transactions on Fuzzy Systems , vol. 23, no. 5, Oct. 2015.
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.
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.
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.
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.
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.
Image and Signal Analysis
Entries go here
Linear Algebra Algorithms
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.
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.
P. D. Gader, “Bidiagonal Factorizations 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.
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.
