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ORCIDPaul D. Gader
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- affiliation: University of Florida, Gainesville, USA
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2020 – today
- 2022
[j102]Yuanhang Lin
, Susan Meerdink, Paul D. Gader:
Spectral Transformations for Multitemporal Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)- [j101]Aditya Dutt, Alina Zare, Paul D. Gader:
Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion With Missing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9439-9456 (2022) - [j100]Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor H. McCurley, Daniel Shats, Paul D. Gader:
Multitarget Multiple-Instance Learning for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c97]Alexander R. Webber, Simon R. Phillpot, Duy T. Nguyen, Eric O. McGhee, W. Gregory Sawyer, Paul D. Gader:
ACESO: A 3D Agent-Based Simulation of the Interaction Between Immune and Tumor Cells. SIGSIM-PADS 2022: 49-50 - [c96]Yuanhang Lin, Paul D. Gader:
Addressing Spectral Variability In Hyperspectral Unmixing With Unsupervised Neural Networks. WHISPERS 2022: 1-5 - [i7]Aditya Dutt, Alina Zare, Paul D. Gader:
Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data. CoRR abs/2210.17311 (2022) - 2021
- [j99]Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader:
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. Neurocomputing 453: 312-325 (2021) - [i6]Ronald Fick, Paul D. Gader, Alina Zare:
Robust Semi-Supervised Classification using GANs with Self-Organizing Maps. CoRR abs/2110.10286 (2021) - 2020
- [j98]Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader:
Interactive thyroid whole slide image diagnostic system using deep representation. Comput. Methods Programs Biomed. 195: 105630 (2020) - [j97]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 58(5): 3020-3033 (2020) - [i5]Matthew Cook, Alina Zare, Paul D. Gader:
Outlier Detection through Null Space Analysis of Neural Networks. CoRR abs/2007.01263 (2020)
2010 – 2019
- 2019
- [j96]Philip E. Dennison, Yi Qi, Susan Meerdink, Raymond F. Kokaly, David R. Thompson, Craig S. T. Daughtry, Miguel Quemada, Dar A. Roberts, Paul D. Gader, Erin B. Wetherley, Izaya Numata, Keely L. Roth:
Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra. Remote. Sens. 11(18): 2072 (2019) - [c95]Ronald Fick, Paul D. Gader, Alina Zare, Susan Meerdink:
Temporal Mapping of Hyperspectral Data. WHISPERS 2019: 1-4 - [c94]Susan Meerdink, James Bocinsky, Erin B. Wetherley, Alina Zare, Connor H. McCurley, Paul D. Gader:
Developing Spectral Libraries Using Multiple Target Multiple Instance Adaptive Cosine/Coherence Estimator. WHISPERS 2019: 1-5 - [i4]Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor H. McCurley, Daniel Shats, Paul D. Gader:
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection. CoRR abs/1909.03316 (2019) - 2018
- [j95]Mubarakat Shuaibu, Won Suk Lee, John K. Schueller, Paul D. Gader, Young Ki Hong, Sangcheol Kim:
Unsupervised hyperspectral band selection for apple Marssonina blotch detection. Comput. Electron. Agric. 148: 45-53 (2018) - [j94]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. IEEE Trans. Image Process. 27(5): 2242-2256 (2018) - [i3]Yuan Zhou, Erin B. Wetherley, Paul D. Gader:
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability. CoRR abs/1801.08513 (2018) - 2017
- [c93]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. CVPR Workshops 2017: 1571-1579 - [c92]Leila Kalantari, Paul D. Gader:
Cross-validating Gaussian process methods for hyperspectral data from tree crowns. IGARSS 2017: 3214-3217 - [i2]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing. CoRR abs/1710.00075 (2017) - 2016
- [j93]Seniha Esen Yüksel, Paul D. Gader:
Context-based classification via mixture of hidden Markov model experts with applications in landmine detection. IET Comput. Vis. 10(8): 873-883 (2016) - [j92]Leila Kalantari, Paul D. Gader, Sarah Graves, Stephanie A. Bohlman:
One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy. IEEE Geosci. Remote. Sens. Lett. 13(7): 967-971 (2016) - [j91]Seniha Esen Yüksel, Sefa Kucuk, Paul D. Gader:
SPICEE: An Extension of SPICE for Sparse Endmember Estimation in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 13(12): 1910-1914 (2016) - [j90]Rob Heylen, Alina Zare, Paul D. Gader, Paul Scheunders:
Hyperspectral Unmixing With Endmember Variability via Alternating Angle Minimization. IEEE Trans. Geosci. Remote. Sens. 54(8): 4983-4993 (2016) - [j89]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. IEEE Trans. Image Process. 25(12): 5987-6002 (2016) - [c91]Rob Heylen, Paul Scheunders, Alina Zare, Paul D. Gader:
Alternating angle minimization based unmixingwith endmember variability. IGARSS 2016: 6974-6977 - [c90]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian mixture model representation of endmember variability for spectral unmixing. WHISPERS 2016: 1-5 - 2015
- [j88]Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader:
Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2655-2664 (2015) - [j87]Taylor C. Glenn, Alina Zare, Paul D. Gader:
Bayesian Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 23(5): 1545-1561 (2015) - [j86]Seniha Esen Yüksel, Jeremy Bolton, Paul D. Gader:
Multiple-Instance Hidden Markov Models With Applications to Landmine Detection. IEEE Trans. Geosci. Remote. Sens. 53(12): 6766-6775 (2015) - [c89]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A spatial compositional model for linear unmixing. WHISPERS 2015: 1-4 - [i1]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. CoRR abs/1509.09243 (2015) - 2014
- [j85]Rob Heylen, Paul D. Gader:
Nonlinear Spectral Unmixing With a Linear Mixture of Intimate Mixtures Model. IEEE Geosci. Remote. Sens. Lett. 11(7): 1195-1199 (2014) - [j84]Wing-Kin Ma, José M. Bioucas-Dias, Tsung-Han Chan, Nicolas Gillis, Paul D. Gader, Antonio J. Plaza, Arul-Murugan Ambikapathi, Chong-Yung Chi:
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing. IEEE Signal Process. Mag. 31(1): 67-81 (2014) - [j83]Xuping Zhang, Jeremy Bolton, Paul D. Gader:
A New Learning Method for Continuous Hidden Markov Models for Subsurface Landmine Detection in Ground Penetrating Radar. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(3): 813-819 (2014) - [j82]Alina Zare, Jeremy Bolton, Jocelyn Chanussot, Paul D. Gader:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1841-1843 (2014) - [j81]Rob Heylen, Mario Parente, Paul D. Gader:
A Review of Nonlinear Hyperspectral Unmixing Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1844-1868 (2014) - [j80]Xiaoxiao Du, Alina Zare, Paul D. Gader, Dmitri Dranishnikov:
Spatial and Spectral Unmixing Using the Beta Compositional Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1994-2003 (2014) - [c88]Pegah Massoudifar, Anand Rangarajan, Paul D. Gader:
Superpixel Estimation for Hyperspectral Imagery. CVPR Workshops 2014: 287-292 - [c87]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Context dependent hyperspectral subpixel target detection. ICIP 2014: 5062-5066 - [c86]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Robust Context Dependent Spectral Unmixing. ICPR 2014: 643-647 - [c85]Leila Kalantari, Paul D. Gader, Sarah Graves, Stephanie A. Bohlman:
Evaluating similarity measures for hyperspectral classification of tree species at Ordway-Swisher Biological Station. IGARSS 2014: 2691-2694 - [c84]Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader:
Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain. WHISPERS 2014: 1-4 - [c83]Pegah Massoudifar, Anand Rangarajan, Alina Zare, Paul D. Gader:
An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging. WHISPERS 2014: 1-4 - 2013
- [j79]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Multi-stream continuous hidden Markov models with application to landmine detection. EURASIP J. Adv. Signal Process. 2013: 40 (2013) - [j78]Alina Zare, Paul D. Gader, George Casella:
Sampling Piecewise Convex Unmixing and Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 51(3-2): 1655-1665 (2013) - [j77]Alina Zare, Paul D. Gader, Ouiem Bchir, Hichem Frigui:
Piecewise Convex Multiple-Model Endmember Detection and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2853-2862 (2013) - [c82]Dmitri Dranishnikov, Paul D. Gader, Alina Zare, Taylor C. Glenn:
Unmixing using a combined microscopic and macroscopic mixture model with distinct endmembers. EUSIPCO 2013: 1-5 - [c81]Taylor C. Glenn, Dmitri Dranishnikov, Paul D. Gader, Alina Zare:
Subpixel target detection in hyperspectral imagery using piece-wise convex spatial-spectral unmixing, possibilistic and fuzzy clustering, and co-registered LiDAR. IGARSS 2013: 1063-1066 - [c80]Jeremy Bolton, Paul D. Gader, Ami Gates:
Embedding multiple instances: Applications to hyperspectral image analysis. WHISPERS 2013: 1-4 - [c79]Taylor C. Glenn, Brandon Smock, Joseph N. Wilson, Paul D. Gader:
Context-dependent detection via Alarm-Set Fusion and segmentation. WHISPERS 2013: 1-4 - [c78]Rob Heylen, Paul D. Gader, Paul Scheunders:
Handling spectral variability with alternating angle minimization. WHISPERS 2013: 1-4 - [c77]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Graph constrained multi-model unmixing using LIDAR information. WHISPERS 2013: 1-4 - [c76]Ce Yang, Won Suk Lee, Paul D. Gader, Han Li:
Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. WHISPERS 2013: 1-4 - [c75]Alina Zare, Paul D. Gader, Dmitri Dranishnikov, Taylor C. Glenn:
Spectral unmixing using the beta compositional model. WHISPERS 2013: 1-5 - 2012
- [j76]Hichem Frigui, Lijun Zhang, Paul D. Gader, Joseph N. Wilson, K. C. Ho, Andres Mendez-Vazquez:
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination. Inf. Fusion 13(2): 161-174 (2012) - [j75]Alina Zare, Paul D. Gader, Karthik S. Gurumoorthy:
Directly Measuring Material Proportions Using Hyperspectral Compressive Sensing. IEEE Geosci. Remote. Sens. Lett. 9(3): 323-327 (2012) - [j74]José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul D. Gader, Jocelyn Chanussot:
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 354-379 (2012) - [j73]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Adaptive Local Fusion With Fuzzy Integrals. IEEE Trans. Fuzzy Syst. 20(5): 849-864 (2012) - [j72]Seniha Esen Yüksel, Joseph N. Wilson, Paul D. Gader:
Twenty Years of Mixture of Experts. IEEE Trans. Neural Networks Learn. Syst. 23(8): 1177-1193 (2012) - [c74]Alina Zare, Ouiem Bchir, Hichem Frigui, Paul D. Gader:
Hyperspectral image analysis with piece-wise convex endmember estimation and spectral unmixing. ICIP 2012: 2681-2684 - [c73]Seniha Esen Yüksel, Paul D. Gader:
Mixture of HMM Experts with applications to landmine detection. IGARSS 2012: 6852-6855 - [c72]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Context Dependent Spectral Unmixing. MLSP 2012: 1-6 - [c71]Seniha Esen Yüksel, Jeremy Bolton, Paul D. Gader:
Landmine detection with Multiple Instance Hidden Markov Models. MLSP 2012: 1-6 - [c70]Paul D. Gader, Dmitri Dranishnikov, Alina Zare, Jocelyn Chanussot:
A sparsity promoting bilinear unmixing model. WHISPERS 2012: 1-4 - [c69]Alina Zare, Paul D. Gader, Tim Allgire, Dmitri Dranishnikov, Ryan Close:
Bootstrapping for Piece-Wise Convex Endmember Distribution Detection. WHISPERS 2012: 1-4 - 2011
- [j71]Jeremy Bolton, Paul D. Gader, Hichem Frigui, Peter Torrione:
Random set framework for multiple instance learning. Inf. Sci. 181(11): 2061-2070 (2011) - [j70]Jeremy Bolton, Paul D. Gader:
Application of Multiple-Instance Learning for Hyperspectral Image Analysis. IEEE Geosci. Remote. Sens. Lett. 8(5): 889-893 (2011) - [j69]Gyeongyong Heo, Paul D. Gader:
Robust kernel discriminant analysis using fuzzy memberships. Pattern Recognit. 44(3): 716-723 (2011) - [j68]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models. IEEE Trans. Geosci. Remote. Sens. 49(6-1): 2080-2099 (2011) - [c68]Alina Zare, Paul D. Gader:
Piece-wise convex spatial-spectral unmixing of hyperspectral imagery using possibilistic and fuzzy clustering. FUZZ-IEEE 2011: 741-746 - [c67]Ryan Close, Joseph N. Wilson, Paul D. Gader:
A Bayesian approach to localized multi-kernel learning using the relevance vector machine. IGARSS 2011: 1103-1106 - [c66]Jeremy Bolton, Paul D. Gader:
Conjunctive formulation of the random set framework for multiple instance learning: Application to remote sensing. IGARSS 2011: 3582-3585 - [c65]Alina Zare, Paul D. Gader, Jeremy Bolton, Seniha Esen Yüksel, Thierry Dubroca, Ryan Close, Rolf Hummel:
Sub-pixel target spectra estimation and detection using functions of multiple instances. WHISPERS 2011: 1-4 - 2010
- [j67]Ganesan Ramachandran, Paul D. Gader, Joseph N. Wilson:
GRANMA: Gradient Angle Model Algorithm on Wideband EMI Data for Land-Mine Detection. IEEE Geosci. Remote. Sens. Lett. 7(3): 535-539 (2010) - [j66]Hichem Frigui, Lijun Zhang, Paul D. Gader:
Context-Dependent Multisensor Fusion and Its Application to Land Mine Detection. IEEE Trans. Geosci. Remote. Sens. 48(6): 2528-2543 (2010) - [j65]Alina Zare, Paul D. Gader:
PCE: Piecewise Convex Endmember Detection. IEEE Trans. Geosci. Remote. Sens. 48(6): 2620-2632 (2010) - [c64]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Local Fusion with Fuzzy Integrals. FUZZ-IEEE 2010: 1-7 - [c63]Gyeongyong Heo, Paul D. Gader:
An extension of global fuzzy c-means using kernel methods. FUZZ-IEEE 2010: 1-6 - [c62]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
A noise robust variant of context extraction for local fusion. FUZZ-IEEE 2010: 1-6 - [c61]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Adaptive Local Fusion with Neural Networks. ICANN (2) 2010: 486-491 - [c60]Alina Zare, Paul D. Gader:
Pattern Recognition Using Functions of Multiple Instances. ICPR 2010: 1092-1095 - [c59]Seniha Esen Yüksel, Paul D. Gader:
Variational Mixture of Experts for Classification with Applications to Landmine Detection. ICPR 2010: 2981-2984 - [c58]Jeremy Bolton, Paul D. Gader:
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning. ICPR 2010: 3907-3910 - [c57]Alina Zare, Paul D. Gader:
Robust Endmember detection using L1 norm factorization. IGARSS 2010: 971-974 - [c56]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Model level fusion of edge histogram descriptors and gabor wavelets for landmine detection with ground penetrating radar. IGARSS 2010: 3378-3381 - [c55]Jeremy Bolton, Paul D. Gader:
Multiple instance learning for hyperspectral image analysis. IGARSS 2010: 4232-4235 - [c54]Ouiem Bchir, Hichem Frigui, Alina Zare, Paul D. Gader:
Multiple model endmember detection based on spectral and spatial information. WHISPERS 2010: 1-4 - [c53]Jeremy Bolton, Paul D. Gader:
Spatial multiple instance learning for hyperspectral image analysis. WHISPERS 2010: 1-4 - [c52]Alina Zare, Ouiem Bchir, Hichem Frigui, Paul D. Gader:
A comparison of deterministic and probabilistic approaches to endmember representation. WHISPERS 2010: 1-4 - [c51]Alina Zare, Ouiem Bchir, Hichem Frigui, Paul D. Gader:
Spatially-smooth piece-wise convex endmember detection. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j64]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
RKF-PCA: Robust kernel fuzzy PCA. Neural Networks 22(5-6): 642-650 (2009) - [j63]Hichem Frigui, Paul 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 Syst. 17(1): 185-199 (2009) - [j62]Raazia Mazhar, Paul D. Gader, Joseph N. Wilson:
Matching-Pursuits Dissimilarity Measure for Shape-Based Comparison and Classification of High-Dimensional Data. IEEE Trans. Fuzzy Syst. 17(5): 1175-1188 (2009) - [j61]Jeremy Bolton, Paul D. Gader:
Random Set Framework for Context-Based Classification With Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 47(11): 3810-3821 (2009) - [j60]John McElroy, Paul D. Gader:
Generalized Encoding and Decoding Operators for Lattice-Based Associative Memories. IEEE Trans. Neural Networks 20(10): 1674-1678 (2009) - [c50]Gyeongyong Heo, Paul D. Gader:
Fuzzy SVM for noisy data: A robust membership calculation method. FUZZ-IEEE 2009: 431-436 - [c49]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Context extraction for local fusion using fuzzy clustering and feature discrimination. FUZZ-IEEE 2009: 490-495 - [c48]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Discriminative Multi-stream Discrete Hidden Markov Models. ICMLA 2009: 178-183 - [c47]Lijun Zhang, Hichem Frigui, Paul D. Gader:
Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning. ICMLA 2009: 190-195 - [c46]Gyeongyong Heo, Paul D. Gader:
Learning the number of gaussian components using hypothesis test. IJCNN 2009: 1206-1212 - [c45]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
Robust kernel PCA using fuzzy membership. IJCNN 2009: 1213-1220 - [c44]Lijun Zhang, Hichem Frigui, Paul D. Gader, Jeremy Bolton:
Context-Dependent Fusion for mine detection using Airborne Hyperspectral Imagery. WHISPERS 2009: 1-4 - [c43]Jeremy Bolton, Paul D. Gader:
A random measure approach for context estimation in hyperspectral imagery. WHISPERS 2009: 1-4 - [c42]Alina Zare, Paul D. Gader:
Context-based endmember detection for hyperspectral imagery. WHISPERS 2009: 1-4 - 2008
- [j59]Alina Zare, Paul D. Gader:
Hyperspectral Band Selection and Endmember Detection Using Sparsity Promoting Priors. IEEE Geosci. Remote. Sens. Lett. 5(2): 256-260 (2008) - [j58]Andres Mendez-Vazquez, Paul D. Gader, James M. Keller, Kenneth Chamberlin:
Minimum Classification Error Training for Choquet Integrals With Applications to Landmine Detection. IEEE Trans. Fuzzy Syst. 16(1): 225-238 (2008) - [j57]Jeremy Bolton, Paul D. Gader, Joseph N. Wilson:
Discrete Choquet Integral as a Distance Metric. IEEE Trans. Fuzzy Syst. 16(4): 1107-1110 (2008) - [j56]Alina Zare, Jeremy Bolton, Paul D. Gader, Miranda Schatten:
Vegetation Mapping for Landmine Detection Using Long-Wave Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 46(1): 172-178 (2008) - [j55]K. C. Ho, Lawrence Carin, Paul D. Gader, Joseph N. Wilson:
An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination. IEEE Trans. Geosci. Remote. Sens. 46(4): 1177-1191 (2008) - [c41]Raazia Mazhar, Paul D. Gader, Joseph N. Wilson:
A matching pursuit based similarity measure for fuzzy clustering and classification of signals. FUZZ-IEEE 2008: 1950-1955 - [c40]Jeremy Bolton, Paul D. Gader:
Random set model for context-based classification. FUZZ-IEEE 2008: 1999-2006 - [c39]Andres Mendez-Vazquez, Paul D. Gader:
Maximum A Posteriori EM MCE Logistic LASSO for learning fuzzy measures. FUZZ-IEEE 2008: 2007-2013 - [c38]K. C. Ho, Joseph N. Wilson, Paul D. Gader:
On the use of aggregation operator for humanitarian demining using hand-held GPR. FUZZ-IEEE 2008: 2103-2108 - [c37]