Publications

Journal Publications and Book Chapters

1. Schulz, H., Cho, K., Raiko, T., & Behnke, S. (2014). Two-Layer Contractive Encodings for Learning Stable Nonlinear Features. Neural Networks.  [BibTeX]

   @article{schulz14-nn,
     author = {Schulz, Hannes and Cho, Kyunghyun and Raiko, Tapani and Behnke, Sven},
     title = {Two-Layer Contractive Encodings for Learning Stable Nonlinear Features},
     journal = {Neural Networks},
     publisher = {Elsevier},
     pubstate = {in press},
     note = {Special Issue on Deep Learning of Representations},
     editor = {Bengio, Yoshua and Lee, Honglak},
     year = {2014},
     download = {/papers/nn2014_twolayer.pdf},
     keywords = {deeplearning}
   }
   

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2. Stückler, J., Waldvogel, B., Schulz, H., & Behnke, S. (2014). Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video. Journal of Real-Time Image Processing.  [BibTeX]

   @article{stueckler2014-jrtip,
     title = {Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video},
     author = {St{\"u}ckler, J{\"o}rg and Waldvogel, Benedikt and Schulz, Hannes and Behnke, Sven},
     date = {to appear},
     journal = {Journal of Real-Time Image Processing},
     year = {2014},
     download = {/papers/JRTIP_2014_Stueckler_RT_SemanticSLAM.pdf},
     keywords = {vision},
     owner = {schulz},
     timestamp = {2014.05.12}
   }
   

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3. Stingaciu, L., Schulz, H., Pohlmeier, A., Behnke, S., Zilken, H., Javaux, M., & Vereecken, H. (2013). In Situ Root System Architecture Extraction from Magnetic Resonance Imaging for Application to Water Uptake Modeling. Vadose Zone Journal, (12). doi:10.2136/vzj2012.0019  [BibTeX]

   @article{schulz12vzj,
     title = {In Situ Root System Architecture Extraction from Magnetic Resonance Imaging for Application to Water Uptake Modeling},
     author = {Stingaciu, Laura and Schulz, Hannes and Pohlmeier, Andreas and Behnke, Sven and Zilken, Herwig and Javaux, Mathieu and Vereecken, Harry},
     journal = {Vadose Zone Journal},
     number = {12},
     year = {2013},
     doi = {10.2136/vzj2012.0019},
     download = {/papers/vzj2012_schulz.pdf},
     keywords = {roots,misc},
     usera = {/papers/vzj2012_schulz.pdf}
   }
   

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4. Schulz, H., Postma, J. A., van Dusschoten, D., Scharr, H., & Behnke, S. (2013). Plant Root System Analysis from MRI Images. In Computer Vision, Imaging and Computer Graphics. Theory and Application (Vol. 359, pp. 411–425). Springer.  [BibTeX]

   @inbook{schulz2013-plantroot,
     title = {Plant Root System Analysis from MRI Images},
     author = {Schulz, Hannes and Postma, Johannes A. and van Dusschoten, Dagmar and Scharr, Hanno and Behnke, Sven},
     booktitle = {Computer Vision, Imaging and Computer Graphics. Theory and Application},
     year = {2013},
     pages = {411-425},
     publisher = {Springer},
     series = {Communications in Computer and Information Science},
     download = {/papers/CCIS_2013_Schulz.pdf},
     volume = {359},
     keywords = {roots},
     owner = {schulz},
     timestamp = {2014.05.12}
   }
   

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5. Schulz, H., & Behnke, S. (2012). Deep Learning: Layer-wise Learning of Feature Hierarchies. Künstliche Intelligenz, 26(4), 357–363.  [BibTeX]

   @article{schulz12-ki,
     title = {Deep Learning: Layer-wise Learning of Feature Hierarchies},
     author = {Schulz, Hannes and Behnke, Sven},
     journal = {K\"{u}nstliche Intelligenz},
     year = {2012},
     issuetitle = {Neural Learning Paradigms},
     number = {4},
     pages = {357--363},
     download = {http://www.ais.uni-bonn.de/papers/ki2012_schulz_deeplearning.pdf},
     volume = {26},
     keywords = {deeplearning},
     usera = {/papers/ki2012_schulz_deeplearning.pdf}
   }
   

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6. Schulz, H., & Behnke, S. (2012). Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization. Advanced Robotics, 26(14), 1603–1621.  [BibTeX]

   @article{schulz12-ar,
     title = {Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization},
     author = {Schulz, Hannes and Behnke, Sven},
     journal = {Advanced Robotics},
     year = {2012},
     number = {14},
     pages = {1603-1621},
     download = {/papers/advrob2012_utilizing.pdf},
     volume = {26},
     keywords = {robocup},
     usera = {/papers/advrob2012_utilizing.pdf}
   }
   

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7. Schulz, H., Müller, A., & Behnke, S. (2011). Exploiting Local Structure in Boltzmann Machines. Neurocomputing, 74(9), 1411–1417.  [BibTeX]

   @article{schulz11-exploiting,
     title = {Exploiting Local Structure in Boltzmann Machines},
     author = {Schulz, Hannes and M\"uller, Andreas and Behnke, Sven},
     journal = {Neurocomputing},
     year = {2011},
     number = {9},
     pages = {1411-1417},
     download = {/papers/neurocomp11_schulz_mueller_behnke.pdf},
     volume = {74},
     keywords = {deeplearning},
     usera = {/papers/neurocomp11_schulz_mueller_behnke.pdf}
   }
   

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Refereed Conference Proceedings

1. Schulz, H., Höft, N., & Behnke, S. (2015). Depth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks. In European Symposium on Artificial Neural Networks (ESANN).  [BibTeX]

   @inproceedings{schulz15-depth,
     author = {Schulz, Hannes and H\"{o}ft, Nico and Behnke, Sven},
     title = {Depth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks},
     booktitle = {European Symposium on Artificial Neural Networks (ESANN)},
     year = {2015},
     note = {to appear}
   }
   

2. Schulz, H., Waldvogel, B., Sheikh, R., & Behnke, S. (2015). CURFIL: Random Forests for Image Labeling on GPU. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP). Berlin, Germany.  [BibTeX]

   @inproceedings{schulz15-curfil,
     title = {{CURFIL}: Random Forests for Image Labeling on {GPU}},
     author = {Schulz, Hannes and Waldvogel, Benedikt and Sheikh, Rasha and Behnke, Sven},
     booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP)},
     year = {2015},
     address = {Berlin, Germany},
     keywords = {misc}
   }
   

3. Höft, N., Schulz, H., & Behnke, S. (2014). Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks. In German Conference on Artificial Intelligence (KI) (pp. 80–85). Stuttgart: Springer.  [BibTeX]

   @inproceedings{hoeft14-fast,
     author = {H\"{o}ft, Nico and Schulz, Hannes and Behnke, Sven},
     title = {Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks},
     booktitle = {German Conference on Artificial Intelligence (KI)},
     pages = {80--85},
     publisher = {Springer},
     series = {LNCS},
     number = {8736},
     month = {sep},
     year = {2014},
     address = {Stuttgart}
   }
   

4. Schulz, H., & Behnke, S. (2014). Structured Prediction for Object Detection in Deep Neural Networks. In Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN).  [BibTeX]

   @inproceedings{schulz14-structured,
     title = {Structured Prediction for Object Detection in Deep Neural Networks},
     author = {Schulz, Hannes and Behnke, Sven},
     booktitle = {Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN)},
     year = {2014},
     download = {/papers/icann2014_schulz.pdf},
     keywords = {vision},
     owner = {schulz},
     timestamp = {2014.05.12}
   }
   

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5. Schulz, H., Cho, K., Raiko, T., & Behnke, S. (2013). Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning. In Proceedings of 20th International Conference on Neural Information Processing (ICONIP) (pp. 450–457).  [BibTeX]

   @inproceedings{schulz13-twolayer,
     title = {Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning},
     author = {Schulz, Hannes and Cho, Kyunghyun and Raiko, Tapani and Behnke, Sven},
     booktitle = {Proceedings of 20th International Conference on Neural Information Processing (ICONIP)},
     year = {2013},
     location = {Daegu, Korea},
     pages = {450-457},
     download = {/papers/ICONIP_2013_Schulz_Two_Layer_Contractive_with_Shortcuts.pdf},
     keywords = {vision},
     owner = {schulz},
     timestamp = {2014.05.12}
   }
   

    [PDF]
6. Schulz, H., & Behnke, S. (2012). Learning Object-Class Segmentation with Convolutional Neural Networks. In Proceedings of the European Symposium on Artificial Neural Networks (ESANN). Bruges, Belgium.  [BibTeX]

   @inproceedings{schulz12-objectclass,
     title = {Learning Object-Class Segmentation with Convolutional Neural Networks},
     author = {Schulz, Hannes and Behnke, Sven},
     booktitle = {Proceedings of the European Symposium on Artificial Neural Networks (ESANN)},
     year = {2012},
     download = {/papers/esann2012_schulz_segmentation.pdf},
     address = {Bruges, Belgium},
     keywords = {deeplearning,vision},
     usera = {/papers/esann2012_schulz_segmentation.pdf}
   }
   

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7. Schulz, H., Postma, J. A., van Dusschoten, D., Scharr, H., & Behnke, S. (2012). 3D Reconstruction of Plant Roots from MRI Images. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP). Rome, Italy.  [BibTeX]

   @inproceedings{schulz12-3drecons,
     title = {3D Reconstruction of Plant Roots from MRI Images},
     author = {Schulz, Hannes and Postma, Johannes A. and van Dusschoten, Dagmar and Scharr, Hanno and Behnke, Sven},
     booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP)},
     year = {2012},
     download = {/papers/VISAPP2012_schulz.pdf},
     address = {Rome, Italy},
     crossref = {schulz2013-plantroot},
     keywords = {roots,misc,superseded},
     usera = {/papers/VISAPP2012_schulz.pdf}
   }
   

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8. Schulz, H., & Behnke, S. (2012). Learning Two-Layer Contractive Encodings. In 22th International Conference on Artificial Neural Networks (ICANN) (pp. 620–628). Lausanne, Switzerland.  [BibTeX]

   @inproceedings{schulz12-learning,
     title = {Learning Two-Layer Contractive Encodings},
     author = {Schulz, Hannes and Behnke, Sven},
     booktitle = {22th International Conference on Artificial Neural Networks (ICANN)},
     year = {2012},
     pages = {620--628},
     download = {http://www.ais.uni-bonn.de/papers/icann12_autoenc.pdf},
     address = {Lausanne, Switzerland},
     keywords = {deeplearning},
     usera = {/papers/icann2012_autoenc.pdf}
   }
   

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9. Lee, D. D., Yi, S. J., McGill, S., Zhang, Y., Behnke, S., Missura, M., … Hopkins, M. (2011). RoboCup 2011 Humanoid League Winners. In RoboCup 2011: Robot Soccer World Cup XV (Vol. 7416, pp. 37–50). Istanbul.  [BibTeX]

   @inproceedings{lee11-winners,
     title = {RoboCup 2011 Humanoid League Winners},
     author = {Lee, D.D. and Yi, S.J. and McGill, S. and Zhang, Y. and Behnke, Sven and Missura, Marcell and Schulz, Hannes and Hong, D. and Han, J. and Hopkins, M.},
     booktitle = {RoboCup 2011: Robot Soccer World Cup XV},
     year = {2011},
     pages = {37-50},
     series = {Lecture Notes in Computer Science},
     download = {/papers/RC11_HL_Winners.pdf},
     volume = {7416},
     address = {Istanbul},
     keywords = {robocup},
     usera = {/papers/RC11_HL_Winners.pdf}
   }
   

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10. Scherer, D., Schulz, H., & Behnke, S. (2010). Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors. In 20th International Conference on Artificial Neural Networks (ICANN). Thessaloniki, Greece.  [BibTeX]

    @inproceedings{scherer10-accelerating,
      title = {Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors},
      author = {Scherer, Dominik and Schulz, Hannes and Behnke, Sven},
      booktitle = {20th International Conference on Artificial Neural Networks (ICANN)},
      year = {2010},
      download = {/papers/icann10_conv.pdf},
      address = {Thessaloniki, Greece},
      keywords = {deeplearning},
      usera = {/papers/icann10_conv.pdf}
    }
    

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11. Müller, A., Schulz, H., & Behnke, S. (2010). Topological Features in Locally Connected RBMs. In Proceedings of the International Joint Conference on Neural Networks (IJCNN). Barcelona, Spain.  [BibTeX]

    @inproceedings{mueller2010-topological,
      title = {Topological Features in Locally Connected RBMs},
      author = {M{\"u}ller, Andreas and Schulz, Hannes and Behnke, Sven},
      booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)},
      year = {2010},
      download = {/papers/ijcnn10.pdf},
      address = {Barcelona, Spain},
      keywords = {deeplearning},
      usera = {/papers/ijcnn10.pdf}
    }
    

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12. Schulz, H., Liu, W., Stückler, J., & Behnke, S. (2010). Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization. In Proceedings of 14th International RoboCup Symposium (Vol. 6556, pp. 397–408). Singapore.  [BibTeX]

    @inproceedings{schulz10-utilizing,
      title = {Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization},
      author = {Schulz, Hannes and Liu, Weichao and St\"{u}ckler, J\"org and Behnke, Sven},
      booktitle = {Proceedings of 14th International RoboCup Symposium},
      year = {2010},
      pages = {397--408},
      series = {Lecture Notes in Computer Science},
      download = {/papers/rcsymp10_lines.pdf},
      volume = {6556},
      address = {Singapore},
      crossref = {schulz12-ar},
      keywords = {robocup,superseded},
      usera = {/papers/rcsymp10_lines.pdf}
    }
    

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13. Schulz, H., Müller, A., & Behnke, S. (2010). Exploiting local structure in Stacked Boltzmann machines. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges, Belgium.  [BibTeX]

    @inproceedings{schulz10-exploiting,
      title = {Exploiting local structure in Stacked Boltzmann machines},
      author = {Schulz, Hannes and M\"uller, Andreas and Behnke, Sven},
      booktitle = {European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
      year = {2010},
      download = {/papers/esann10.pdf},
      address = {Bruges, Belgium},
      keywords = {deeplearning,superseded},
      usera = {/papers/esann10.pdf}
    }
    

     [PDF]
14. Schulz, H., Kersting, K., & Karwath, A. (2009). ILP, the Blind and the Elephant: Euclidean Embedding of Co-Proven Queries. In L. De Raedt (Ed.), Proceedings of the 19th International Conference on Inductive Logic Programming (ILP) (Vol. 5989, pp. 209–216). Leuven, Belgium.  [BibTeX]

    @inproceedings{schulz09-ilp,
      title = {ILP, the Blind and the Elephant: Euclidean Embedding of Co-Proven Queries},
      author = {Schulz, Hannes and Kersting, Kristian and Karwath, Andreas},
      booktitle = {Proceedings of the 19th International Conference on Inductive Logic Programming (ILP)},
      editor = {{De Raedt}, Luc},
      year = {2009},
      pages = {209--216},
      series = {Lecture Notes in Computer Science},
      download = {/papers/ilp09.pdf},
      volume = {5989},
      address = {Leuven, Belgium},
      keywords = {misc},
      usera = {/papers/ilp09.pdf}
    }
    

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15. Schulz, H., Ott, L., Sturm, J., & Burgard, W. (2009). Learning Kinematics from Direct Self-Observation Using Nearest-Neighbor Methods. In Proceedings of the German Workshop on Robotics. Braunschweig, Germany.  [BibTeX]

    @inproceedings{schulz09-learning,
      title = {Learning Kinematics from Direct Self-Observation Using Nearest-Neighbor Methods},
      author = {Schulz, Hannes and Ott, Lionel and Sturm, J\"org and Burgard, Wolfram},
      booktitle = {Proceedings of the German Workshop on Robotics},
      year = {2009},
      download = {/papers/gwr09.pdf},
      address = {Braunschweig, Germany},
      keywords = {misc},
      usera = {/papers/gwr09.pdf}
    }
    

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16. Stückler, J., Schulz, H., & Behnke, S. (2008). In-lane Localization in Road Networks using Curbs Detected in Omnidirectional Height Images . In Proceedings of Robotik 2008. München, Germany.  [BibTeX]

    @inproceedings{stueckler08-inlane,
      title = {In-lane Localization in Road Networks using Curbs Detected in Omnidirectional Height Images },
      author = {St\"uckler, J\"org and Schulz, Hannes and Behnke, Sven},
      booktitle = {Proceedings of Robotik 2008},
      year = {2008},
      download = {/papers/robotik08.pdf},
      address = {M\"unchen, Germany},
      keywords = {urbanchallenge,misc},
      usera = {/papers/robotik08.pdf}
    }
    

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17. Behnke, S., Stückler, J., Schreiber, M., Schulz, H., Böhnert, M., & Meier, K. (2007). Hierarchical Reactive Control for a Team of Humanoid Soccer Robots. In Proceedings of the International Conference on Humanoid Robots (Humanoids). Pittsburgh, USA.  [BibTeX]

    @inproceedings{behnke07-hierarchical,
      title = {Hierarchical Reactive Control for a Team of Humanoid Soccer Robots},
      author = {Behnke, Sven and St\"uckler, J\"org and Schreiber, Michael and Schulz, Hannes and B\"ohnert, Martin and Meier, Konrad},
      booktitle = {Proceedings of the International Conference on Humanoid Robots (Humanoids)},
      year = {2007},
      download = {/papers/Humanoids07_Hierarchical_Reactive_Control.pdf},
      address = {Pittsburgh, USA},
      keywords = {robocup},
      usera = {/papers/Humanoids07_Hierarchical_Reactive_Control.pdf}
    }
    

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Workshops

1. Konda, K. R., Königs, A., Schulz, H., & Schulz, D. (2012). Real time interaction with mobile robots using hand gestures. In Proceedings of the international conference on Human-Robot Interaction (HRI) (pp. 177–178). New York, NY, USA.  [BibTeX]

   @inproceedings{konda12-real,
     title = {Real time interaction with mobile robots using hand gestures},
     author = {Konda, Kishore Reddy and K\"{o}nigs, Achim and Schulz, Hannes and Schulz, Dirk},
     booktitle = {Proceedings of the international conference on Human-Robot Interaction (HRI)},
     year = {2012},
     pages = {177--178},
     address = {New York, NY, USA},
     keywords = {workshop,deeplearning}
   }
   

2. Schulz, H., & Behnke, S. (2012). Object-Class Segmentation using Deep Convolutional Neural Networks. In Proceedings of DAGM Workshop on New Challenges in Neural Computation. Frankfurt, Germany.  [BibTeX]

   @inproceedings{schulz12-dagm,
     title = {Object-Class Segmentation using Deep Convolutional Neural Networks},
     author = {Schulz, Hannes and Behnke, Sven},
     booktitle = {Proceedings of DAGM Workshop on New Challenges in Neural Computation},
     year = {2012},
     download = {/papers/DAGM_NC2_2011_Schulz.pdf},
     address = {Frankfurt, Germany},
     keywords = {deeplearning,workshop,superseded},
     usera = {/papers/DAGM_NC2_2011_Schulz.pdf}
   }
   

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3. Schulz, H., Müller, A., & Behnke, S. (2010). Investigating Convergence of Restricted Boltzmann Machine Learning. In NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning. Whistler, Canada.  [BibTeX]

   @inproceedings{schulz10-investigating,
     title = {Investigating Convergence of Restricted Boltzmann Machine Learning},
     author = {Schulz, Hannes and M\"uller, Andreas and Behnke, Sven},
     booktitle = {NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning},
     year = {2010},
     download = {/papers/nips10ws_schulz_mueller_behnke.pdf},
     address = {Whistler, Canada},
     keywords = {workshop,deeplearning},
     usera = {/papers/nips10ws_schulz_mueller_behnke.pdf}
   }
   

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4. Schulz, H., Liu, W., Stückler, J., & Behnke, S. (2009). Line Structure-based Localization for Soccer Robots. In Proceedings of The Fourth Workshop on Humanoid Soccer Robots. Paris, France.  [BibTeX]

   @inproceedings{schulz09-line,
     title = {Line Structure-based Localization for Soccer Robots},
     author = {Schulz, Hannes and Liu, Weichao and St\"{u}ckler, J\"org and Behnke, Sven},
     booktitle = {Proceedings of The Fourth Workshop on Humanoid Soccer Robots},
     year = {2009},
     booktitleaddon = {Co-located with International Conference on Humanoid Robots (Humanoids)},
     download = {/papers/hsr09.pdf},
     address = {Paris, France},
     keywords = {robocup,workshop,superseded},
     usera = {/papers/hsr09.pdf}
   }
   

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5. Schulz, H., Strasdat, H., & Behnke, S. (2007). A Ball Is Not Just Orange: Using Color and Luminance to Classify Regions of Interest. In Proceedings of The Second Workshop on Humanoid Soccer Robots. Pittsburgh, USA.  [BibTeX]

   @inproceedings{schulz07-ball,
     title = {A Ball Is Not Just Orange: Using Color and Luminance to Classify Regions of Interest},
     author = {Schulz, Hannes and Strasdat, Hauke and Behnke, Sven},
     booktitle = {Proceedings of The Second Workshop on Humanoid Soccer Robots},
     year = {2007},
     booktitleaddon = {Co-located with International Conference on Humanoid Robots (Humanoids)},
     download = {/papers/hsr07.pdf},
     address = {Pittsburgh, USA},
     keywords = {robocup,workshop},
     usera = {/papers/hsr07.pdf}
   }
   

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Team Description Papers

1. Behnke, S., Schreiber, M., Stückler, J., Schulz, H., Böhnert, M., & Meier, K. (2008). NimbRo TeenSize 2008 Team Description. In RoboCup Humanoid League team descriptions.  [BibTeX]

   @inproceedings{behnke08-teensizetd,
     title = {NimbRo TeenSize 2008 Team Description},
     author = {Behnke, Sven and Schreiber, Michael and St\"uckler, J\"org and Schulz, Hannes and B\"ohnert, Martin and Meier, Konrad},
     booktitle = {RoboCup Humanoid League team descriptions},
     year = {2008},
     keywords = {robocup,teamdesc}
   }
   

2. Behnke, S., Schreiber, M., Stückler, J., Schulz, H., Böhnert, M., & Meier, K. (2008). NimbRo KidSize 2008 Team Description. In RoboCup Humanoid League team descriptions.  [BibTeX]

   @inproceedings{behnke08-kidsizetd,
     title = {NimbRo KidSize 2008 Team Description},
     author = {Behnke, Sven and Schreiber, Michael and St\"uckler, J\"org and Schulz, Hannes and B\"ohnert, Martin and Meier, Konrad},
     booktitle = {RoboCup Humanoid League team descriptions},
     year = {2008},
     keywords = {robocup,teamdesc}
   }
   

Theses

1. Schulz, H. (2009). Euclidean Embedding of Co-Proven Queries. University of Freiburg.  [BibTeX]

   @thesis{schulz09-euclidean,
     title = {Euclidean Embedding of Co-Proven Queries},
     author = {Schulz, Hannes},
     year = {2009},
     note = {Master Thesis. Supervisors: Kristian Kersting, Martin Riedmiller},
     school = {University of Freiburg},
     usera = {masterthesis/ma.pdf},
     download = {masterthesis/masterthesis.html}
   }
   

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2. Schulz, H. (2007). Unsupervised Extraction of Visual Features for Neural Net-Based Reinforcement Learning. University of Osnabrück.  [BibTeX]

   @thesis{schulz07-unsupervised,
     title = {Unsupervised Extraction of Visual Features for Neural Net-Based Reinforcement Learning},
     author = {Schulz, Hannes},
     year = {2007},
     note = {Bachelor Thesis. Supervisors: Martin Riedmiller, Peter K\"onig},
     download = {masterthesis/ba.pdf},
     school = {University of Osnabr\"uck},
     usera = {masterthesis/ba.pdf}
   }
   

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