@misc{WahleFriedrich1996,
  author    = {Wahle, Michael and Friedrich, Peter Ralph},
  title     = {Anordnung zur schwingungsisolierenden Lagerung von Massen oder elastischen Systemen : Offenlegungsschrift},
  publisher = {Deutsches Patent- und Markenamt},
  address   = {M{\"u}nchen},
  pages     = {8 S. : graph. Darst.},
  year      = {1996},
  language  = {de}
}
@inproceedings{NaetherJuarezEmmerichetal.2006,
  author    = {N{\"a}ther, Niko and Ju{\´a}rez, Leon M. and Emmerich, R{\"u}diger and Berger, J{\"o}rg and Friedrich, Peter and Sch{\"o}ning, Michael Josef},
  title     = {Detection of hydrogen peroxide (H2O2) at exposed temperatures for industrial processes},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:a96-opus-1418},
  year      = {2006},
  abstract  = {An H2O2 sensor for the application in industrial sterilisation processes has been developed. Therefore, automated sterilisation equipment at laboratory scale has been constructed using parts from industrial sterilisation facilities. In addition, a software tool has been developed for the control of the sterilisation equipment at laboratory scale. First measurements with the developed sensor set-up as part of the sterilisation equipment have been performed and the sensor has been physically characterised by optical microscopy and SEM.},
  subject      = {Biosensor},
  language  = {en}
}
@inproceedings{FleischFuchsGottschalketal.2008,
  author    = {Fleisch, Elgar and Fuchs, Sascha and Gottschalk, Sebastian Friedrich and G{\"u}thenke, Gunnar and H{\"o}hne, Tim and Jacobs, Georg and Junker, F. and Millarg, K. and Narr, Claus and Nyhuis, Peter and Schuh, G{\"u}nther},
  title     = {High resolution production management : Auftragsplanung und Steuerung in der individualisierten Produktion},
  series = {Wettbewerbsfaktor Produktionstechnik : Aachener Perspektiven ; [Tagungsband ; AWK, Aachener Werkzeugmaschinen-Kolloquium '08, 5. bis 6. Juni]},
  booktitle = {Wettbewerbsfaktor Produktionstechnik : Aachener Perspektiven ; [Tagungsband ; AWK, Aachener Werkzeugmaschinen-Kolloquium '08, 5. bis 6. Juni]},
  editor    = {Brecher, Christian},
  publisher = {Apprimus Verl.},
  address   = {Aachen},
  organization    = {AWK, Aachener Werkzeugmaschinen-Kolloquium 2008},
  isbn      = {978-3-940565-04-4},
  pages     = {451 -- 471},
  year      = {2008},
  language  = {de}
}
@article{ElsenKraissKrumbiegeletal.1999,
  author    = {Elsen, Ingo and Kraiss, Karl-Friedrich and Krumbiegel, Dirk and Walter, Peter and Wickel, Jochen},
  title     = {Visual information retrieval for 3D product identification: a midterm report},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {13},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {1},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  pages     = {64 -- 67},
  year      = {1999},
  language  = {en}
}
@inproceedings{WalterElsenMuelleretal.1999,
  author    = {Walter, Peter and Elsen, Ingo and M{\"u}ller, Holger and Kraiss, Karl-Friedrich},
  title     = {3D object recognition with a specialized mixtures of experts architecture},
  series = {IJCNN'99. International Joint Conference on Neural Networks. Proceedings},
  booktitle = {IJCNN'99. International Joint Conference on Neural Networks. Proceedings},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-5529-6},
  issn      = {1098-7576},
  doi       = {10.1109/IJCNN.1999.836243},
  pages     = {3563 -- 3568},
  year      = {1999},
  abstract  = {Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.},
  language  = {en}
}