Paul D. Gader, Ph.D.

Professor

Research Areas

Database, Data Science and Informatics, Image and Signal Analysis, Machine Learning

Education

Ph.D., University of Florida, 1986
M.S., University of Florida, 1983
B.S., University of Central Florida 1981

Publications

J. Bioucas-Dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du, 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.

A. 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.

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.

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.

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, “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.

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.

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.

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.

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.

Awards & Distinctions