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Investigating intensity and transversal drift in hyperspectral imaging data.

V. Vaquet, P. Menz, U. Seiffert, and B. Hammer. Neurocomputing, (2022)

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Udo Seiffert

Chiravat Udomkaewkanjana

Bla Udovi

Umo-Etuk Udo

Other publications of authors with the same name

Classification of 3-D Dendritic Spines using Self-Organizing Maps.G. Sommerkorn, U. Seiffert, D. Surmeli, A. Herzog, B. Michaelis, and K. Braun. ICANNGA, page 129-132. Springer, (1997)Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging.N. Bendel, A. Kicherer, A. Backhaus, J. Köckerling, M. Maixner, E. Bleser, H. Klück, U. Seiffert, R. Voegele, and R. Töpfer. Remote. Sens., 12 (10): 1693 (2020)Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers.U. Knauer, C. von Rekowski, M. Stecklina, T. Krokotsch, T. Minh, V. Hauffe, D. Kilias, I. Ehrhardt, H. Sagischewski, S. Chmara and 1 other author(s). Remote. Sens., 11 (23): 2788 (2019)Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging.N. Bendel, A. Backhaus, A. Kicherer, J. Köckerling, M. Maixner, B. Jarausch, S. Biancu, H. Klück, U. Seiffert, R. Voegele and 1 other author(s). Remote. Sens., 12 (24): 4151 (2020)Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data.V. Vaquet, P. Menz, U. Seiffert, and B. Hammer. ESANN, (2021)Federated learning vector quantization for dealing with drift between nodes.J. Brinkrolf, V. Vaquet, F. Hinder, P. Menz, U. Seiffert, and B. Hammer. ESANN, (2022)Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding.P. Herzig, P. Borrmann, U. Knauer, H. Klück, D. Kilias, U. Seiffert, K. Pillen, and A. Maurer. Remote. Sens., 13 (14): 2670 (2021)From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer.P. Menz, V. Vaquet, B. Hammer, and U. Seiffert. ESANN, (2022)Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware.U. Seiffert, and B. Michaelis. WSOM, page 160-166. Springer, (2001)Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks.U. Knauer, A. Backhaus, and U. Seiffert. Neural Comput. Appl., 26 (2): 253-262 (2015)

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Disambiguation of "Seiffert, Udo"

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Investigating intensity and transversal drift in hyperspectral imaging data.

Please choose a person to relate this publication to

Udo Seiffert

Udo Seiffert

Chiravat Udomkaewkanjana

Bla Udovi

Umo-Etuk Udo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Seiffert, Udo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Investigating intensity and transversal drift in hyperspectral imaging data.

Please choose a person to relate this publication to

Udo Seiffert

Udo Seiffert

Chiravat Udomkaewkanjana

Bla Udovi

Umo-Etuk Udo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Investigating intensity and transversal drift in hyperspectral imaging data.