Suchergebnisse

Konferenzbeitrag (21)

  1. 21.
    Konferenzbeitrag
    Loktyushin, A.; Harmeling, S.: Automatic foreground-background refocusing. In: 18th IEEE International Conference on Image Processing (ICIP 2011), S. 3445 - 3448 (Hg. Macq, P.; Schelkens, B.). 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium. IEEE, Piscataway, NJ, USA (2011)
  2. 22.
    Konferenzbeitrag
    Harmeling, S.; Hirsch, M.; Schölkopf, B.: Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, 06. Dezember 2010 - 11. Dezember 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, S. 829 - 837 (2011)
  3. 23.
    Konferenzbeitrag
    Burger, H.; Schölkopf, B.; Harmeling, S.: Removing noise from astronomical images using a pixel-specific noise model. In: IEEE International Conference on Computational Photography (ICCP 2011), S. 1 - 8 (Hg. Lensch, H.; Narasimhan, S.; Testorf, M.). IEEE International Conference on Computational Photography (ICCP 2011), Pittsburgh, PA, USA, 08. April 2011 - 10. April 2011. IEEE, Piscataway, NJ, USA (2011)
  4. 24.
    Konferenzbeitrag
    Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.: Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM. In: 17th International Conference on Image Processing (ICIP 2010), S. 3313 - 3316. 17th International Conference on Image Processing (ICIP 2010), Hong Kong, China, 26. September 2010 - 29. September 2010. IEEE, Piscataway, NJ, USA (2010)
  5. 25.
    Konferenzbeitrag
    Hirsch, M.; Sra, S.; Schölkopf, B.; Harmeling, S.: Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution. In: Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), S. 607 - 614. Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA, USA, 13. Juni 2010 - 18. Juni 2010. IEEE, Piscataway, NJ, USA (2010)
  6. 26.
    Konferenzbeitrag
    Lampert, C.; Nickisch, H.; Harmeling, S.: Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, S. 951 - 958. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami Beach, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
  7. 27.
    Konferenzbeitrag
    Harmeling, S.; Hirsch, M.; Sra, S.; Schölkopf, B.: Online blind deconvolution for astronomical imaging. In: 2009 IEEE International Conference on Computational Photography (ICCP), S. 1 - 7. First IEEE International Conference Computational Photography (ICCP 2009), San Francisco, CA, USA, 16. April 2009 - 17. April 2009. IEEE, Piscataway, NJ, USA (2009)
  8. 28.
    Konferenzbeitrag
    Harmeling, S.: An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge. In: RTE '07: ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, S. 137 - 142. ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (TextEntail 2007), Praha, Czech Republic, 28. Juni 2007 - 29. Juni 2007. Association for Computational Linguistics, Stroudsburg, PA, USA (2007)
  9. 29.
    Konferenzbeitrag
    Honkela, A.; Harmeling, S.; Lundqvist, L.; Valpola, H.: Using kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. In: Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, S. 790 - 797 (Hg. Puntonet, C.; Prieto, A.). Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain, 22. September 2004 - 24. September 2004. Springer, Berlin, Germany (2004)
  10. 30.
    Konferenzbeitrag
    Meinecke, F.; Harmeling, S.; Müller, K.-R.: Robust ICA for Super-Gaussian Sources. In: Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, S. 217 - 224 (Hg. Puntonet, C.; Prieto, A.). Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain, 22. September 2004 - 24. September 2004. Springer, Berlin, Germany (2004)
  11. 31.
    Konferenzbeitrag
    Harmeling, S.; Meinecke, F.; Müller, K.-R.: Analysing ICA component by injection noise. In: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), S. 149 - 154 (Hg. Amari, S.-I.; Cichocki, A.; Makino, S.; Murata, N.). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, 01. April 2003 - 04. April 2003. (2003)
  12. 32.
    Konferenzbeitrag
    Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.: Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation. In: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), S. 269 - 274 (Hg. Amari, S.-I.; Cichocki, A.; Makino, S.; Murata, N.). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, 01. April 2003 - 04. April 2003. (2003)
  13. 33.
    Konferenzbeitrag
    Harmeling, S.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.: Kernel feature spaces and nonlinear blind source separation. In: Advances in Neural Information Processing Systems 14, S. 761 - 768 (Hg. Dietterich, T.; Becker, S.; Ghahramani, Z.). Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), Vancouver, BC, Canada, 03. Dezember 2001 - 08. Dezember 2001. MIT Press, Cambridge, MA, USA (2002)
  14. 34.
    Konferenzbeitrag
    Harmeling, S.; Ziehe, A.; Kawanabe, M.; Blankertz, B.; Müller, K.-R.: Nonlinear blind source separation using kernel feature spaces. In: Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001), S. 102 - 107 (Hg. Lee, T.-W.; Jung, T.; Makeig, S.; Sejnowski, T.). Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego, CA, USA, 09. Dezember 2001 - 12. Dezember 2001. (2001)
  15. 35.
    Konferenzbeitrag
    Ziehe, A.; Kawanabe , M.; Harmeling, S.; Müller, K.-R.: Separation of post-nonlinear mixtures using ACE and temporal decorrelation. In: Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), S. 433 - 438 (Hg. Lee, T.-W.; Jung, T.; Makeig, S.; Sejnowski, T.). Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego, CA, USA, 09. Dezember 2001 - 13. Dezember 2001. (2001)

Vortrag (1)

  1. 36.
    Vortrag
    Harmeling, S.: Efficient space-variant blind deconvolution. NIPS 2010 Workshop on Numerical Mathematics Challenges in Machine Learning (NUMML 2010), Whistler, BC, Canada (2010)

Poster (3)

  1. 37.
    Poster
    Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.: Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. 15th Annual Meeting of the Vision Sciences Society (VSS 2015), St. Pete Beach, FL, USA (2015)
  2. 38.
    Poster
    Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F. A.: Pain-free bayesian inference for psychometric functions. 37th European Conference on Visual Perception (ECVP 2014), Beograd, Serbia (2014)
  3. 39.
    Poster
    Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.; Wichmann, F. A.: Pain-free Bayesian inference for psychometric functions. 2014 European Mathematical Psychology Group Meeting (EMPG), Tübingen, Germany (2014)

Hochschulschrift - Doktorarbeit (1)

  1. 40.
    Hochschulschrift - Doktorarbeit
    Harmeling, S.: Independent component analysis and beyond. Dissertation, 112 S., Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam, Potsdam, Germany (2004)
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