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Jean-Luc Bouchot

Jean-Luc Bouchot's picture
  • Master Degree (Diplom-Ingenieur) in applied mathematics and computer science of the french national polytechnical institute of Toulouse, ENSEEIHT, september 2009
  • Exchange student at the TU Darmstadt, specialized in Computer Vision, Pattern recognition and machine learning, WS 2008/2009
  • Research intern at T-Systems enterprise GmbH, Darmstadt Germany 2008-2009
  • Research assistant - PhD Student at FLLL/ Johannes Kepler Universit├Ąt since october 2009
jean-luc.bouchot@jku.at FLLL ++43 7236 3343 432

Research Interests:

  • Image Processing
  • Similarity Measires (in particular structural ones)
  • Computer Vision
  • Machine Learning
    • Kernel methods (in particular SVM)
    • SVM with non-psd kernels
  • Measure theory

Publications:

  • J. Bouchot, J. Himmelbauer, B. Moser. "On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis",  Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2010),IEEE. 2010. (pdf)
  • Stifter, D., Leiss-Holzinger, E., Heise, B., Bouchot, J., Major, Z., Pircher, M., Götzinger, E., Baumann, B., Hitzenberger, C. K., "Spectral domain polarization sensitive optical coherence tomography at 1.55 µm: novel developments and applications for dynamic studies in materials science" in Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, Proceedings of SPIE Vol. 7889 (SPIE, Bellingham, WA 2011) 78890Z. (pdf)
  • J. Bouchot, G. Stübl, B. Moser, "A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces", Proceedings of the SPIE  10th International Conference on Quality Control by Artificial Vision, 28-30 June 2011, Saint Etienne, France. (pdf)
  • E. Lughofer, J.-L. Bouchot and A. Shaker, "On-Line Elimination of Local Redundancies in Evolving Fuzzy Systems", Evolving Systems (2011) (pdf)
  • B. Moser, G. Stübl and J.-L. Bouchot, "On a Non-Monotonicity Effect of Similarity Measures", Similarity-Based Pattern Recognition (SIMBAD 2011), 46-60, Springer, 2011 (pdf)
  • E. Leiss-Holzinger, U. D. Cakmak, B. Heise, J.-L. Bouchot, E. P. Klement, M. Leitner, D. Stifter, Z. Major, "Evaluation of structural change and local strain distribution in polymers comparatively imaged by FFSA and OCT techniques", Express Polymer Letters, 2012. (pdf)
  • S. Bernstein, J.-L. Bouchot, M. Reinhardt, B. Heise, "Generalized analytic signals in image processing: Comparison, theory and their applications", accepted to ICCA9, 2012 (preprint)
  • G. Stübl, J.-L. Bouchot, P. Haslinger, B. Moser, "Discrepancy norm as fitness for defect for defect detection on regularly textured surfaces", accepted to ÖAGM-DAGM 2012 (preprint)

 
Here is a first draft of my Ph.D. thesis.
Other:

 
Some other facts:
Visiting Research:

Attendee of Stanford online classes: Machine Learning (oct.-dec. 2011), Artificial Intelligence (oct.-dec. 2011)
My Erdös number is 3 through: Me -> Bernhard Moser -> István Joó -> Paul Erdös