Paul D. Gader

ORCID

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 29

Top Venues

WHISPERS

CoRR

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Aditya Dutt, Paul D. Gader
Wavelet Multiresolution Analysis Based Speech Emotion Recognition System Using 1D CNN LSTM Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
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 (2022)
Yuanhang Lin, Susan Meerdink, Paul D. Gader
Spectral Transformations for Multitemporal Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yuanhang Lin, Paul D. Gader
Addressing Spectral Variability In Hyperspectral Unmixing With Unsupervised Neural Networks. WHISPERS (2022)
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 (2022)
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)
Aditya Dutt, Alina Zare, Paul D. Gader
Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data. CoRR (2022)
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 (2021)
Ronald Fick, Paul D. Gader, Alina Zare
Robust Semi-Supervised Classification using GANs with Self-Organizing Maps. CoRR (2021)
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 (2020)
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) (2020)
Matthew Cook, Alina Zare, Paul D. Gader
Outlier Detection through Null Space Analysis of Neural Networks. CoRR (2020)
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) (2019)
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)
Ronald Fick, Paul D. Gader, Alina Zare, Susan Meerdink
Temporal Mapping of Hyperspectral Data. WHISPERS (2019)
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 (2019)
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 (2018)
Yuan Zhou, Erin B. Wetherley, Paul D. Gader
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability. CoRR (2018)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. IEEE Trans. Image Process. 27 (5) (2018)
Leila Kalantari, Paul D. Gader
Cross-validating Gaussian process methods for hyperspectral data from tree crowns. IGARSS (2017)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing. CoRR (2017)
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)
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) (2016)
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) (2016)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Gaussian mixture model representation of endmember variability for spectral unmixing. WHISPERS (2016)
Rob Heylen, Paul Scheunders, Alina Zare, Paul D. Gader
Alternating angle minimization based unmixingwith endmember variability. IGARSS (2016)
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) (2016)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. IEEE Trans. Image Process. 25 (12) (2016)
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) (2016)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. CoRR (2015)
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) (2015)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A spatial compositional model for linear unmixing. WHISPERS (2015)
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) (2015)
Taylor C. Glenn, Alina Zare, Paul D. Gader
Bayesian Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 23 (5) (2015)
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)
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) (2014)
Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader
Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain. WHISPERS (2014)
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) (2014)
Pegah Massoudifar, Anand Rangarajan, Paul D. Gader
Superpixel Estimation for Hyperspectral Imagery. CVPR Workshops (2014)
Rob Heylen, Paul D. Gader
Nonlinear Spectral Unmixing With a Linear Mixture of Intimate Mixtures Model. IEEE Geosci. Remote. Sens. Lett. 11 (7) (2014)
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) (2014)
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) (2014)
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) (2014)
Hamdi Jenzri, Hichem Frigui, Paul D. Gader
Robust Context Dependent Spectral Unmixing. ICPR (2014)
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)
Hamdi Jenzri, Hichem Frigui, Paul D. Gader
Context dependent hyperspectral subpixel target detection. ICIP (2014)
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) (2013)
Oualid Missaoui, Hichem Frigui, Paul D. Gader
Multi-stream continuous hidden Markov models with application to landmine detection. EURASIP J. Adv. Signal Process. 2013 (2013)
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)
Ce Yang, Won Suk Lee, Paul D. Gader, Han Li
Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. WHISPERS (2013)
Hamdi Jenzri, Hichem Frigui, Paul D. Gader
Graph constrained multi-model unmixing using LIDAR information. WHISPERS (2013)
Alina Zare, Paul D. Gader, George Casella
Sampling Piecewise Convex Unmixing and Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 51 (3-2) (2013)
Dmitri Dranishnikov, Paul D. Gader, Alina Zare, Taylor C. Glenn
Unmixing using a combined microscopic and macroscopic mixture model with distinct endmembers. EUSIPCO (2013)
Rob Heylen, Paul D. Gader, Paul Scheunders
Handling spectral variability with alternating angle minimization. WHISPERS (2013)
Alina Zare, Paul D. Gader, Dmitri Dranishnikov, Taylor C. Glenn
Spectral unmixing using the beta compositional model. WHISPERS (2013)
Taylor C. Glenn, Brandon Smock, Joseph N. Wilson, Paul D. Gader
Context-dependent detection via Alarm-Set Fusion and segmentation. WHISPERS (2013)
Jeremy Bolton, Paul D. Gader, Ami Gates
Embedding multiple instances: Applications to hyperspectral image analysis. WHISPERS (2013)
Alina Zare, Ouiem Bchir, Hichem Frigui, Paul D. Gader
Hyperspectral image analysis with piece-wise convex endmember estimation and spectral unmixing. ICIP (2012)
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) (2012)
Alina Zare, Paul D. Gader, Tim Allgire, Dmitri Dranishnikov, Ryan Close
Bootstrapping for Piece-Wise Convex Endmember Distribution Detection. WHISPERS (2012)
Seniha Esen Yüksel, Joseph N. Wilson, Paul D. Gader
Twenty Years of Mixture of Experts. IEEE Trans. Neural Networks Learn. Syst. 23 (8) (2012)
Hamdi Jenzri, Hichem Frigui, Paul D. Gader
Context Dependent Spectral Unmixing. MLSP (2012)
Alina Zare, Paul D. Gader, Karthik S. Gurumoorthy
Directly Measuring Material Proportions Using Hyperspectral Compressive Sensing. IEEE Geosci. Remote. Sens. Lett. 9 (3) (2012)
Seniha Esen Yüksel, Jeremy Bolton, Paul D. Gader
Landmine detection with Multiple Instance Hidden Markov Models. MLSP (2012)
Seniha Esen Yüksel, Paul D. Gader
Mixture of HMM Experts with applications to landmine detection. IGARSS (2012)
Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader
Adaptive Local Fusion With Fuzzy Integrals. IEEE Trans. Fuzzy Syst. 20 (5) (2012)
Paul D. Gader, Dmitri Dranishnikov, Alina Zare, Jocelyn Chanussot
A sparsity promoting bilinear unmixing model. WHISPERS (2012)
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) (2012)
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) (2011)
Jeremy Bolton, Paul D. Gader
Conjunctive formulation of the random set framework for multiple instance learning: Application to remote sensing. IGARSS (2011)
Ryan Close, Joseph N. Wilson, Paul D. Gader
A Bayesian approach to localized multi-kernel learning using the relevance vector machine. IGARSS (2011)
Alina Zare, Paul D. Gader
Piece-wise convex spatial-spectral unmixing of hyperspectral imagery using possibilistic and fuzzy clustering. FUZZ-IEEE (2011)
Gyeongyong Heo, Paul D. Gader
Robust kernel discriminant analysis using fuzzy memberships. Pattern Recognit. 44 (3) (2011)
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)
Jeremy Bolton, Paul D. Gader
Application of Multiple-Instance Learning for Hyperspectral Image Analysis. IEEE Geosci. Remote. Sens. Lett. 8 (5) (2011)
Jeremy Bolton, Paul D. Gader, Hichem Frigui, Peter Torrione
Random set framework for multiple instance learning. Inf. Sci. 181 (11) (2011)
Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader
Adaptive Local Fusion with Neural Networks. ICANN (2) (2010)
Alina Zare, Ouiem Bchir, Hichem Frigui, Paul D. Gader
Spatially-smooth piece-wise convex endmember detection. WHISPERS (2010)
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) (2010)
Seniha Esen Yüksel, Paul D. Gader
Variational Mixture of Experts for Classification with Applications to Landmine Detection. ICPR (2010)
Alina Zare, Ouiem Bchir, Hichem Frigui, Paul D. Gader
A comparison of deterministic and probabilistic approaches to endmember representation. WHISPERS (2010)
Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader
Local Fusion with Fuzzy Integrals. FUZZ-IEEE (2010)
Gyeongyong Heo, Paul D. Gader, Hichem Frigui
A noise robust variant of context extraction for local fusion. FUZZ-IEEE (2010)
Gyeongyong Heo, Paul D. Gader
An extension of global fuzzy c-means using kernel methods. FUZZ-IEEE (2010)
Alina Zare, Paul D. Gader
Robust Endmember detection using L1 norm factorization. IGARSS (2010)
Jeremy Bolton, Paul D. Gader
Multiple instance learning for hyperspectral image analysis. IGARSS (2010)
Alina Zare, Paul D. Gader
PCE: Piecewise Convex Endmember Detection. IEEE Trans. Geosci. Remote. Sens. 48 (6) (2010)
Jeremy Bolton, Paul D. Gader
Spatial multiple instance learning for hyperspectral image analysis. WHISPERS (2010)
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)
Alina Zare, Paul D. Gader
Pattern Recognition Using Functions of Multiple Instances. ICPR (2010)
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) (2010)
Ouiem Bchir, Hichem Frigui, Alina Zare, Paul D. Gader
Multiple model endmember detection based on spectral and spatial information. WHISPERS (2010)
Jeremy Bolton, Paul D. Gader
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning. ICPR (2010)
Gyeongyong Heo, Paul D. Gader, Hichem Frigui
RKF-PCA: Robust kernel fuzzy PCA. Neural Networks 22 (5-6) (2009)
Gyeongyong Heo, Paul D. Gader
Fuzzy SVM for noisy data: A robust membership calculation method. FUZZ-IEEE (2009)
Jeremy Bolton, Paul D. Gader
A random measure approach for context estimation in hyperspectral imagery. WHISPERS (2009)
Lijun Zhang, Hichem Frigui, Paul D. Gader
Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning. ICMLA (2009)
Jeremy Bolton, Paul D. Gader
Random Set Framework for Context-Based Classification With Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 47 (11) (2009)
Gyeongyong Heo, Paul D. Gader, Hichem Frigui
Robust kernel PCA using fuzzy membership. IJCNN (2009)
Alina Zare, Paul D. Gader
Context-based endmember detection for hyperspectral imagery. WHISPERS (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paul D. Gader