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Karsten Vogt
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2010 – 2019
- 2019
- [b1]Karsten Vogt:
Bayessches Transferlernen für die Semantische Segmentierung von Luftbildern. University of Hanover, Hannover, Germany, 2019 - 2017
- [c6]Karsten Vogt, Jörn Ostermann:
Soft Margin Bayes-Point-Machine Classification via Adaptive Direction Sampling. SCIA (1) 2017: 313-324 - 2016
- [c5]Ulrike Pestel-Schiller, Karsten Vogt, Jörn Ostermann, Wolfgang Gros:
Impact of hyperspectral image coding on subpixel detection. PCS 2016: 1-5 - 2015
- [c4]Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn:
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. CRV 2015: 155-160 - [c3]Karsten Vogt, Oliver Müller, Jörn Ostermann:
Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling. ISVC (2) 2015: 365-376 - [c2]Florian Baumann, Karsten Vogt, Arne Ehlers, Bodo Rosenhahn:
Probabilistic nodes for modelling classification uncertainty for random forest. MVA 2015: 510-513 - 2013
- [c1]Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn:
Cascaded Random Forest for Fast Object Detection. SCIA 2013: 131-142
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