PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Theiler, James"

Author of the publication

copydeleteadd this publication to your clipboard
Spatio-spectral anomalous change detection in hyperspectral imagery.

. GlobalSIP, page 953-956. IEEE, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Univ. -Prof. Dr. James Foster University of Stuttgart

Samuel James Tovey University of Stuttgart

 

Other publications of authors with the same name

Parallel random number generators for sequences uniformly distributed over any range of integers., , and . IEEE Trans. on Circuits and Systems, 53-I (7): 1496-1505 (2006)Two realizations of a general feature extraction framework., , and . Pattern Recognition, 37 (5): 875-887 (2004)Spatio-spectral anomalous change detection in hyperspectral imagery.. GlobalSIP, page 953-956. IEEE, (2013)Generic target response as a measure of regression accuracy in multispectral background estimation.. SSIAI, page 45-48. IEEE Computer Society, (2016)Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier., , and . IGARSS, page 364-367. IEEE, (2006)Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection., and . Computational Imaging, page 1-9. Ingenta, (2016)Online feature selection for pixel classification., , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 249-256. ACM, (2005)Using support vector machines for anomalous change detection, , and . 2010 IEEE International Geoscience and Remote Sensing Symposium, 5, page 3732-3735. Piscataway, NJ, IEEE, (2010)Radial kernels and their reproducing kernel Hilbert spaces, , , and . Journal of complexity, 26 (6): 641-660 (2010)Experience with a Hybrid Processor: K-Means Clustering., , , , , and . The Journal of Supercomputing, 26 (2): 131-148 (2003)