SGN-90206 International Doctoral Seminar: Signal Processing Journal Club


The Department of Signal Processing is organizing a Journal Club on Signal Processing and related areas. The idea is to present recent advances in signal processing and analysis, and most presentations are based on an interesting research paper. The key idea is to use minimum effort for delivering maximum amount of information to others. This is also an opportunity for the presenter to read a paper that has always been interesting but there never was enough time to read it. Alternatively, you can present your own work.

In order to follow the minimum effort principle, we prefer you not to spend your time on making powerpoints. Instead, take the PDF and highlight and comment the essential things with Adobe Acrobat tools or PDF-X-Change.

Credits

Credit points can be gained from the seminar according to the following criteria:

What to present?

There will be a list of papers for presentation in the first seminar meeting. You can also propose papers for presentation outside this list (including your own work).

Timetable:

  1. Wednesday, February 11th at 13:15-14:00 (TB222): Ke Chen presents his paper Learning to Count with Back-Propagated Information

Past presentations

  1. Monday, August 4th at 14:15 in TB222: Dr. Budhachandra Khundrakpam from Montreal Neurological Institute, Montreal, Canada presents his work: "Understanding Network Connectivity in the Developing Human Brain: Implications for Cognitive Development and Neurodevelopmental Disorders".
  2. Thursday, August 28th at 14:15 in TB224: Heikki Huttunen will present the new software installed at Merope: pylearn2, scikit-learn, and OpenCV. After that, we describe our 2nd place solution to the DecMeg2014 competition on Decoding the Human Brain. [PDF] [Code] [News]
  3. Tuesday, September 2nd at 14:15 in TB222: Giacomo Boracchi (Politecnico di Milano, Italy): Change and Anomaly Detection with Sparse Representations (ICASSP 2014) [abstract]
  4. Wednesday, 29.10 at 15:15 (TB222): Heikki Huttunen:
  5. Tuesday, 4.11 at 15:15 (TB224): Ekaterina Riabchenko:
  6. Tuesday, 11.11 at 15:15 (TB224): Oguzhan Gencoglu:
  7. Tuesday, 18.11 at 15:15 (TB224): Alexandr Diment:
  8. Thursday, 11.12 at 13:15 (TB224): Prof.Slava Voloshinovsky will present his work. [abstract and biography]
  9. 6.2.2014 at 14:15-15:00 in TB214 [Note changed time due to TUT ROCKS event]: Heikki Huttunen: Deep learning for Signal Processing. Presentation of the paper:
  10. Additional reading:
  11. Fri. 21.3.2014 at 14:15-15:00 in TB220: Sakira Hassan presents the paper P. Geurts, D. Ernst., and L. Wehenkel, "Extremely randomized trees", Machine Learning, 63(1), 3-42, 2006. The method is implemented as a part of the scikits-learn package.
  12. Fri. 28.3.2014 at 14:15-15:00 in TB220: Heikki Huttunen: Presentation of the use of Merope computing cluster at TUT. Example: how to train a deep neural network on the Merope Tesla GPU
  13. 3.4.2014 at 15:15-16:00 in TB220: student presentation
  14. 10.4.2014 at 15:15-16:00 in TB220: Junsheng Fu presents the paper: Noah Snavely, Steven M. Seitz, Richard Szeliski. Photo Tourism: Exploring image collections in 3D. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2006), 2006. See also  supplementary website.
  15. 8.5.2014 at 15:15-16:00 in TB220: Michal Joachimiak presents the paper: Hannuksela, M.M.; Rusanovskyy, D.; Wenyi Su; Lulu Chen; Ri Li; Aflaki, P.; Deyan Lan; Joachimiak, M.; Houqiang Li; Gabbouj, M., "Multiview-Video-Plus-Depth Coding Based on the Advanced Video Coding Standard," IEEE Transactions on Image Processing, Sept. 2013
  16. 22.4.2013 at 14:15-15:00 in TB223: Giacomo Boracchi (Politecnico di Milano, Italy): Survey of Change Point Detection Methods.
  17. 21.3.2013 at 14:15-15:00 in TB216: Ana Sovic: "Fast Least Absolute Deviation Adaptive Wavelet Filter Bank".
  18. 14.3.2013 at 13:15-14:00 in TB224: Norbert Krueger from Cognitive Vision Lab of Syddansk Universitet: Vision for Cognitive Robot Systems.
  19. 12.2.2013 at 12:15-13:00 in TB222: Umar Iqbal and Srikanth Gopalakrishna: One shot learning gesture recognition from RGB-D images. Their work is based on this paper, which participated in the ChaLearn gesture recognition challenge.
  20. 30.1.2013 at 14:15-15:00 in TB110: Anssi Klapuri: Time-frequency and time-pitch representations for music signals
  21. 4.12.2012 at 13:15-14:00 in TB224 Joni Kämäräinen: Gabor Features in Computer Vision and Image Processing.
  22. 20.11.2012 at 13:15-14:00 in TB224 Anders Glent Buch: Object pose estimation for robot grasping.
  23. 23.8.2012 at 13:15-14:00 in TB223 Heikki Huttunen:
    1. Demonstration of the new Lytro camera (15 min).
    2. Presentation of our recent submissions to the DREAM6 challenge (best performer) and the Amazon data science challenge of IEEE MLSP 2012 (second place). Both are based on L1 regularized logistic regression classifier (30 min).
  24. 24.10.2011 at 15:15-16:00 in TB220 Juho Vihonen: R. Mahony, T. Hamel, and J-M. Pflimlin, "Nonlinear complementary filters on the special orthogonal group," IEEE Transactions on Automatic Control, vol. 53, no. 5, June 2008.
  25. 7.11.2011 at 13:15-14:00 in TB215 Tapio Manninen: "Logistic Regression for AML Prediction," best performing submission to the DREAM6 challenge. Tapio's submission is Team #347.
  26. 21.11.2011 at 15:15-16:00 in TB220 Pekka Ruusuvuori: Analysis of brightfield focus image stacks.
  27. 5.12.2011 at 15:15-16:00 in TB220 Presentation postponed by 2 weeks.
  28. 19.12.2011 at 15:15-16:00 in TB220 Jukka-Pekka Kauppi: "Bilinear Discriminant Component Analysis" by Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra, Journal of Machine Learning Research 8 (2007) 1097-1111.
  29. 23.9.2010 Heikki Huttunen: What Energy Functions can be Minimized via Graph Cuts? (Kolmogorov and Zabih, ECCV '02/PAMI '04).
  30. 7.10.2010 Antti Happonen: A comprehensive panel of three-dimensional models for studies of prostate cancer growth, invasion and drug responses, (H\E4rm\E4, Happonen, Kallioniemi et al. PLoS One vol. 5, 2010). Note: the place is this time TC314.
  31. 11.11.2010 Salme K\E4rkk\E4inen (University of Jyv\E4skyl\E4, Department of Mathematics and Statistics): A stochastic shape model for fibres with an application to carbon nanotubes.
  32. 25.11.2010 Antti Niemist\F6: topic to be specified later. Cancelled.
  33. 2.12.2010 Jussi Tohka: Presentation of Jussi's recent papers, e.g., J.V. Manjon, J. Tohka , M. Robles. Improved estimates of partial volume coefficients from noisy brain MRI using spatial context. NeuroSignal , in press, 2010.
  34. 16.12.2010 Pekka Ruusuvuori: Worz, S.; Sander, P.; Pfannmoller, M.; Rieker, R.J.; Joos, S.; Mechtersheimer, G.; Boukamp, P.; Lichter, P.; Rohr, K.; , "3D Geometry-Based Quantification of Colocalizations in Multichannel 3D Microscopy Signals of Human Soft Tissue Tumors," Medical Imaging, IEEE Transactions on, vol.29, no.8, pp.1474-1484, Aug. 2010.
  35. 7.2.2011 at 16:15-17:00 Heikki Huttunen: Introduction to KFDA using the classic paper by Mika et al.: Fisher discriminant analysis with kernels (in IEEE NN for SP conf., 1999). After that a presentation of: Heikki Huttunen, Jari-Pekka Ryyn\E4nen, Heikki Forsvik, Ville Voipio and Hisakazu Kikuchi, "Kernel Fisher Discriminant and Elliptic Shape Model for Automatic Measurement of Allergic Reactions", Lecture Notes in Computer Science, 2011, Volume 6688/2011, 764-773.
  36. 21.2.2011 at 15:15-16:00 Antti Niemist\F6: High-throughput tracking of single yeast cells in a microfluidic single-cell imaging platform Based on paper: D. Falconnet, A. Niemist\F6, R. J. Taylor, M. Ricicova, T. Galitski, I. Shmulevich, and C. L. Hansen, "High-throughput tracking of single yeast cells in a microfluidic imaging matrix," Lab on a Chip, vol. 11, no. 3, pp. 466-473, 2011.
  37. 7.3.2011 at 15:15-16:00 Uygar Tuna: Tomographic reconstruction from the incomplete projection data
  38. 21.3.2011 at 14:15-15:00: Dr. Izumi Ito from Tokyo Institute of Technology will present the topic DCT sign correlation and its application to signal matching.
  39. 4.4.2011 at 15:15-16:00 Heikki Huttunen: J. Friedman, T. Hastie and R. Tibshirani, "Regularized Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software 33(1), 2010. After that, a brief description of our submission to ICANN MEG classification competition, where we used the above technique (a.k.a. logistic regression).
  40. 18.4.2011 at 15:15-16:00 Timo Erkkil\E4: Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola, "Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination", Journal of Machine Learning Research, Jan. 2009. Link to Timo's C++ implementation, RF-ACE.

Questions: Heikki.Huttunen@tut.fi.

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Last update 26.3.2014.


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