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Taylor C. Glenn
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2010 – 2019
- 2018
- [j3]Alina Zare, Changzhe Jiao, Taylor C. Glenn:
Discriminative Multiple Instance Hyperspectral Target Characterization. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2342-2354 (2018) - 2016
- [i2]Alina Zare, Changzhe Jiao, Taylor C. Glenn:
Multiple Instance Hyperspectral Target Characterization. CoRR abs/1606.06354 (2016) - 2015
- [j2]Taylor C. Glenn, Alina Zare, Paul D. Gader:
Bayesian Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 23(5): 1545-1561 (2015) - [c7]Taylor C. Glenn, Alina Zare:
Estimating target signatures with diverse density. WHISPERS 2015: 1-4 - [i1]Taylor C. Glenn, Alina Zare:
Estimating Target Signatures with Diverse Density. CoRR abs/1510.09184 (2015) - 2013
- [c6]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 - [c5]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 - [c4]Brandon Smock, Taylor C. Glenn, Joseph N. Wilson:
Optimal fusion of alarm sets from multiple detectors using dynamic programming. IGARSS 2013: 4395-4398 - [c3]Taylor C. Glenn, Brandon Smock, Joseph N. Wilson, Paul D. Gader:
Context-dependent detection via Alarm-Set Fusion and segmentation. WHISPERS 2013: 1-4 - [c2]Alina Zare, Paul D. Gader, Dmitri Dranishnikov, Taylor C. Glenn:
Spectral unmixing using the beta compositional model. WHISPERS 2013: 1-5 - 2012
- [j1]Nathan Longbotham, Fabio Pacifici, Taylor C. Glenn, Alina Zare, Michele Volpi, Devis Tuia, Emmanuel Christophe, Julien Michel, Jordi Inglada, Jocelyn Chanussot, Qian Du:
Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 331-342 (2012) - 2010
- [c1]Taylor C. Glenn, Joseph N. Wilson, K. C. Ho:
A multimodal Matching Pursuits Dissimilarity Measure applied to landmine/clutter discrimination. IGARSS 2010: 4200-4203
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