Supervised Theses

1. Schwarz, M. (2014). Objektklassifikation, Identifizierung und Posenschätzung mit Hilfe von vortrainierten Konvolutionsnetzen. (ongoing)
2. Huang, Y. (2014). Investigation of Dropout Model-Averaging for Large-Scale Image Classification.  [BibTeX]

   @thesis{huang14,
     title = {Investigation of Dropout Model-Averaging for Large-Scale Image Classification},
     year = {2014},
     author = {Huang, Yi},
     keywords = {supervised}
   }
   

3. Hoeft, N. (2014). Bildsegmentation in Objekt-Klassen mit Konvolutionalen Neuronalen Netzen.  [BibTeX]

   @thesis{hoeft14,
     title = {Bildsegmentation in Objekt-Klassen mit Konvolutionalen Neuronalen Netzen},
     year = {2014},
     author = {Hoeft, Nico},
     download = {/theses/Nico_Hoeft_Bachelorarbeit_05_2014.pdf},
     keywords = {supervised}
   }
   

    [PDF]
4. Pavel, M. S. (2014). Recurrent Convolutional Neural Networks for Object-Class Segmentation. (ongoing)
5. Koliogiannis, L. (2014). Lukas Koliogiannis: Empirische Evaluation für Gradientenabstiegsverfahren erster Ordnung in nicht-konvexen Modellen. (ongoing)
6. Hartmann, T. (2014). Discriminative Convolutional Sum-Product Networks on GPU.  [BibTeX]

   @thesis{hartmann14,
     title = {Discriminative Convolutional Sum-Product Networks on GPU},
     year = {2014},
     author = {Hartmann, Tobias},
     download = {/theses/Tobias_Hartmann_Master_Thesis_05_2014.pdf},
     keywords = {supervised}
   }
   

    [PDF]
7. Waldvogel, B. (2013). Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation.  [BibTeX]

   @thesis{waldvogel13,
     title = {Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation},
     year = {2013},
     author = {Waldvogel, Benedikt},
     download = {/theses/Benedikt_Waldvogel_Master_Thesis_07_2013.pdf},
     keywords = {supervised}
   }
   

    [PDF]