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Karsten Vogt

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2010 – 2019

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2019
[b1]
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Karsten Vogt:
Bayessches Transferlernen für die Semantische Segmentierung von Luftbildern. University of Hanover, Hannover, Germany, 2019
2017
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Karsten Vogt, Jörn Ostermann:
Soft Margin Bayes-Point-Machine Classification via Adaptive Direction Sampling. SCIA (1) 2017: 313-324
2016
[c5]
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  - conf/pcs/Pestel-Schiller16
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Ulrike Pestel-Schiller, Karsten Vogt, Jörn Ostermann, Wolfgang Gros:
Impact of hyperspectral image coding on subpixel detection. PCS 2016: 1-5
2015
[c4]
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  - conf/crv/BaumannCVR15
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Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn:
Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. CRV 2015: 155-160
[c3]
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Karsten Vogt, Oliver Müller, Jörn Ostermann:
Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling. ISVC (2) 2015: 365-376
[c2]
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  - conf/mva/BaumannVER15
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Florian Baumann, Karsten Vogt, Arne Ehlers, Bodo Rosenhahn:
Probabilistic nodes for modelling classification uncertainty for random forest. MVA 2015: 510-513
2013
[c1]
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Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn:
Cascaded Random Forest for Fast Object Detection. SCIA 2013: 131-142

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