Ancalime.de

Ancalime.de

Holger Schöner

Publications Holger Schöner

Book Chapters

  1. [1] Die Welt der OpenStreetMap (Schöner, Holger), Kartographisches Denken (Reder, Christian, ed.), Springer-Verlag, Wien, New York, pp. 386–389, 2012. [bibtex]

Journal Articles

  1. [1] Multi-Source Transfer Learning of Time Series in Cyclical Manufacturing (Zellinger, Werner and Grubinger, Thomas and Zwick, Michael and Lughofer, Edwin and Schöner, Holger and Natschläger, Thomas and Saminger-Platz, Susanne), Journal of Intelligent Manufacturing, 2019. [bibtex] [pdf] [doi]
  2. [2] Multi-Domain Transfer Component Analysis for Domain Generalization (Grubinger, Thomas and Birlutiu, Adriana and Schöner, Holger and Natschläger, Thomas and Heskes, Tom), Neural Processing Letters, volume 46, pp. 845-855, 2017-04-06, 2017-12-17. (00000) [bibtex] [pdf] [doi]
  3. [3] Multi-Domain Transfer Component Analysis for Domain Generalization (Grubinger, Thomas and Birlutiu, Adriana and Schöner, Holger and Natschläger, Thomas and Heskes, Tom), Neural Processing Letters, pp. 1–11, 2017. (00000) [bibtex] [pdf] [doi]
  4. [4] Denoising 3D images from time-of-flight cameras using extended anisotropic diffusion (Schöner, Holger), SPIE Newsroom, 2012. [bibtex] [pdf] [doi]
  5. [5] Image processing for three-dimensional scans generated by time-of-flight range cameras (Schöner, Holger and Bauer, Frank and Dorrington, Adrian and Heise, Bettina and Wieser, Volkmar and Payne, Andrew and Cree, Michael J. and Moser, Bernhard), Journal of Electronic Imaging, volume 21, pp. 023012, 2012. [bibtex] [pdf] [doi]

Conference and Workshop Publications

  1. [1] Domain Generalization Based on Transfer Component Analysis (Grubinger, Thomas and Birlutiu, Adriana and Schöner, Holger and Natschläger, Thomas and Heskes, Tom), Advances in Computational Intelligence - Proceedings of IWANN 2015, Part I (Rojas, I. and Joya, G. and Catala, A., ed.), Springer, volume 9094, pp. 325–334, 2015. [bibtex] [pdf]
  2. [2] SymReg-MT: Iterative Multi-task Feature Learning Through Weighted Symbolic Regression (Zwick, Michael and Schöner, Holger and Rezaie, Ehsan), First International Workshop on Learning over Multiple Contexts (LMCE) @ ECML, 2014. [bibtex] [pdf]
  3. [3] Agricultural Reform: More Efficient Farming Using Advanced Parallel Refactoring Tools (Brown, Christopher and Janjic, Vladimir and Hammond, Kevin and Schöner, Holger and Idrees, Kamran and Gracia, José and Glass, Colin), Proceedings of the 22nd Euromicro International Conference on Parallel, distributed and network-based Processing PDP 2014, IEEE Computer Society’s Conference Publishing Services (CPS), pp. 36–43, 2014. [bibtex] [pdf] [doi]
  4. [4] Patterns in Machine Learning: A new Parallelization Work-Flow for Machine Learning Methods (Schöner, Holger and Roßbory, Michael), Proceedings of HLPGPU, 2013. [bibtex] [pdf]
  5. [5] Paraphrasing: Generating Parallel Programs using Refactoring (Brown, Christopher and Hammond, Kevin and Danelutto, Marco and Kilpatrick, Peter and Schöner, Holger and Breddin, Tino), Formal Methods for Components and Objects FMCO, Springer, volume 7542, pp. 237–256, 2013. [bibtex] [pdf] [doi]
  6. [6] GPU-based Image Processing Use Cases: A High-Level Approach (Wieser, Volkmar and Grelck, Clemens and Schöner, Holger and Haslinger, Peter and Bosa, Karoly and Moser, Bernhard), Proceedings of the International Conference on Parallel Computing (ParCo), IOS Press, volume 22, pp. 199–206, 2011. [bibtex] [pdf]
  7. [7] Karten im Druck (Schöner, Holger), FOSSGIS Konferenzband, 2010. [bibtex] [pdf]
  8. [8] Denoising Techniques for raw 3D Data of TOF Cameras Based on Clustering and Wavelets (Moser, Bernhard and Bauer, Frank and Elbau, P. and Heise, Bettina and Schöner, Holger), Electronic Proceedings of Electronic Imaging (Corner, Brian D. and Mochimaru, Masaaki and Sitnik, Robert, ed.), SPIE, volume 6805, pp. 68050E, 2008. [bibtex] [pdf] [doi]
  9. [9] Potential von Time Of Flight Kameras für industrielle Anwendungen (Moser, Bernhard and Schöner, Holger and Dorrington, Adrian A. and Cree, Michael J. and Carnegie, Dale A. and Bauer, Frank and Heise, Bettina), Tagungsband Industrielles Symposium Mechatronik (ISM), Automatisierung, Clusterland Oberösterreich GmbH, Mechatronik-Cluster, pp. 273–277, 2008. [bibtex] [pdf]
  10. [10] Wissensextraktion mittels maschinellen Lernens zum besseren Prozessverständnis in der Stahlerzeugung (Natschläger, Thomas and Himmelbauer, Johannes and Schöner, Holger and Kokert, Friedrich and Mitter, Sylvia and Exner, Herbert), Tagungsband Industrielles Symposium Mechatronik, Automatisierung, Clusterland Oberösterreich GmbH, Mechatronik-Cluster, pp. 79–87, 2008. [bibtex] [pdf]
  11. [11] A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras (Schöner, Holger and Moser, Bernhard and Dorrington, Adrian A. and Payne, Andrew D. and Cree, Michael J. and Bauer, Frank and Heise, Bettina), Proceedings of CIMCA08, 2008. [bibtex] [pdf]
  12. [12] On Preprocessing Multi-Channel Sensor Data for Online Process Monitoring (Schöner, Holger and Moser, Bernhard and Lughofer, Edwin), Proceedings of CIMCA08, 2008. [bibtex] [pdf]
  13. [13] Challenges and Solutions for Process Monitoring (Schöner, Holger), Tagungsband Industrielles Symposium Mechatronik Sensorik, Clusterland Oberösterreich GmbH, Mechatronik-Cluster, pp. 271–274, 2007. [bibtex] [pdf]
  14. [14] Application of Blind Separation of Sources to Optical Recording of Brain Activity (Schöner, Holger and Stetter, Martin and Schießl, Ingo and Mayhew, J.E.W. and Lund, J.S. and McLoughlin, N. and Obermayer, Klaus), Advances in Neural Information Processing Systems NIPS 12 (Solla, S.A. and Leen, T.K. and Müller, K.-R., ed.), MIT Press, pp. 949–955, 2000. [bibtex] [pdf]
  15. [15] Regularized Second Order Source Separation (Schießl, Ingo and Schöner, Holger and Stetter, Martin and Dima, Anca and Obermayer, Klaus), Proceedings of ICA00 ― International workshop on Idependent Component Analysis and Blind Source Separation (Pajunen, P. and Karhunen, J., ed.), volume 2, pp. 111–116, 2000. [bibtex] [pdf]
  16. [16] Blind Separation of Noisy Mixtures by Iterative Decorrelation. (Schöner, Holger and Stetter, Martin and Schießl, Ingo and Mayhew, J.E.W. and Lund, J.S. and McLoughlin, N. and Obermayer, Klaus), Proceedings of The Learning Workshop, 1999. [bibtex]
  17. [17] Noise-robust Blind Separation of Sources for Optical Imaging of Intrinsic Signals (Schöner, Holger and Stetter, Martin and Schießl, Ingo and Mayhew, J.E.W. and Lund, J.S. and McLoughlin, N. and Obermayer, Klaus), Society for Neuroscience Abstracts, volume 25, pp. 783, 1999. [bibtex]

Diploma and PhD Theses

  1. [1] Working with real world datasets: preprocessing and prediction with large incomplete and heterogeneous datasets (Schöner, Holger), 2004. (Published: Print on Demand) [bibtex] [pdf]
  2. [2] Extended Decorrelation Procedures for Source Separation of Biomedical Image Data (Schöner, Holger), 1999. [bibtex] [pdf]

Presentations

  1. [1] OpenStreetMap (Schöner, Holger), 2011. (Invited Talk, FLLL, Hagenberg, Austria) [bibtex] [pdf]
  2. [2] The Dream of Your Own Map (Schöner, Holger), 2009. (Presentation, Linux Wochen Linz, Austria) [bibtex] [pdf]

Technical Reports

  1. [1] Active Learning with Neural Networks (Schöner, Holger), pp. 20, 1998. (Masters Comprehensive Examination) [bibtex]