@inproceedings{RazenSpaeteMelissetal.1998,
  author    = {Razen, Manfred and Sp{\"a}te, Frank and Meliß, Michael and Breuer, Maria and Hubrich, J{\"o}rg and Rischert, Christa},
  title     = {Aus-, Fort- und Weiterbildung am Solar-Institut J{\"u}lich},
  series = {Deutschlands Weg in eine solare Zukunft : Tagungsband; 26. - 30. Juni 1998 Fachhochschule K{\"o}ln / 11. Internationales Sonnenforum},
  booktitle = {Deutschlands Weg in eine solare Zukunft : Tagungsband; 26. - 30. Juni 1998 Fachhochschule K{\"o}ln / 11. Internationales Sonnenforum},
  publisher = {Solar Promotion},
  address   = {M{\"u}nchen},
  organization    = {Deutsche Gesellschaft f{\"u}r Sonnenenergie},
  pages     = {1071 -- 1078},
  year      = {1998},
  language  = {de}
}
@inproceedings{Elsen1998,
  author    = {Elsen, Ingo},
  title     = {A pixel based approach to view based object recognition with self-organizing neural networks},
  series = {IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society},
  booktitle = {IECON'98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {0-7803-4503-7},
  doi       = {10.1109/IECON.1998.724032},
  pages     = {2040 -- 2044},
  year      = {1998},
  abstract  = {This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.},
  language  = {en}
}
@inproceedings{BuxbaumSchwarteRingbecketal.1998,
  author    = {Buxbaum, Bernd and Schwarte, Rudolf and Ringbeck, Thorsten and Heinol, Horst-Guenther and Xu, Z. and Olk, J. and Tai, W. and Zhang, Z. and Luan, X.},
  title     = {A new approach in optical broadband communication systems : a high integrated optical phase locked loop based on a mixing and correlating sensor, the Photonic Mixer Device (PMD)},
  series = {Proceedings / OPTO 98, Internationaler Kongress und Fachausstellung f{\"u}r Optische Sensorik, Messtechnik und Elektronik, 18. - 20. Mai 1998, Kongresszentrum Erfurt},
  booktitle = {Proceedings / OPTO 98, Internationaler Kongress und Fachausstellung f{\"u}r Optische Sensorik, Messtechnik und Elektronik, 18. - 20. Mai 1998, Kongresszentrum Erfurt},
  publisher = {ACS Organisations GmbH},
  address   = {Wunsdorf},
  pages     = {59 -- 64},
  year      = {1998},
  language  = {en}
}