Uwe Knauer

Orcid: 0000-0002-4423-1164

Affiliations:
  • Humboldt University of Berlin, Germany


According to our database1, Uwe Knauer authored at least 11 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Drohnenbasiertes Verfahren zur Detektion geschädigter Obstbäume in Obstbaumplantagen.
Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2021
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding.
Remote. Sens., 2021

2019
Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers.
Remote. Sens., 2019

2018
Multi-Klassifikator-Systeme für die Objetdetektion in Bilddaten.
PhD thesis, 2018

2015
Fusion trees for fast and accurate classification of hyperspectral data with ensembles of γ-divergence-based RBF networks.
Neural Comput. Appl., 2015

Evaluation of Fusion Methods for Gamma-Divergence-Based Neural Network Ensembles.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014
Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Fast image segmentation based on boosted random forests, integral images, and features on demand.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

2013
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

A comparison of late fusion methods for object detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

2009
Evaluation based combining of classifiers for monitoring honeybees.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009


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