TAMPERE UNIVERSITY OF TECHNOLOGY - Department of Signal Processing

University Lecturer Heikki Huttunen, Dr.Eng.

Department of Signal Processing

Tampere University of Technology

• Course SGN-11000 Signaalinkäsittelyn perusteet [lecture notes]
• Course SGN-1970 Signal Processing bachelor seminar.
  
• Course SGN-16006 Signal Processing and Multimedia Laboratory: a programming exercise with TI DSP boards.
  
• Slides of the course Statistical Signal Processing from 2013. Contact me if you want to take this course.
  

• Pattern recognition and statistics
  
• Computer vision for various applications
• Signal Processing Journal Club is our seminar on recent development in various areas of signal processing.

• General Chair of FINSIG03 symposium.
• Co-Chair of WCSB06 symposium.
• Exhibition Chair of 3DTV-CON 2010.
• Board member of Visy Oy
• Chairman of 3T.

1. Heikki Huttunen, Oguzhan Gencoglu, Johannes Lehmusvaara, and Teemu Vartiainen, "MEG Decoding with Hierarchical Combination of Logistic Regression and Random Forests," Technical report of our 2nd place submission to the DecMeg 2014 competition at Kaggle.com, Aug. 2014.
2. O. Gencoglu, T. Virtanen, H. Huttunen, "Recognition of Acoustic Events Using Deep Neural Networks," in EUSIPCO 2014, Sept. 2014.
3. P. Ruusuvuori, L. Paavolainen, K. Rutanen, A. Mäki, H. Huttunen, V. Marjomäki, "Quantitative analysis of dynamic association in live biological fluorescent samples," PLoS ONE, 9(4), April 2014.
4. T. Manninen, H. Huttunen, P. Ruusuvuori and M. Nykter, "Leukemia Prediction Using Sparse Logistic Regression," PLOS ONE 8(8): e72932. August 2013. [software]
5. H. Huttunen, T. Manninen and J. Tohka, "Bayesian Error Estimation and Model Selection in Sparse Logistic Regression," IEEE MLSP, Southampton, UK, Sept. 2013. [software]
6. Briggs et al., "The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment," IEEE MLSP, Southampton, UK, Sept. 2013.
7. S. Hassan, M. Farhan, R. Mangayil, H. Huttunen, T. Aho, "Bioprocess data mining using regularized regression and random forests," BMC Systems Biology, 2013.
8. H. Kikuchi, S. Kataoka, S. Muramatsu, H. Huttunen, "Color-tone Similarity of Digital Images," IEEE ICIP, Melbourne, Australia, September 2013.
9. N. Aghaeepour, G. Finak, The FlowCAP Consortium, The DREAM Consortium, H. Hoos, T. Mosmann, R. Brinkman, R. Gottardo and R. Scheuermann, "Critical assessment of automated flow cytometry data analysis techniques," Nature Methods, February 2013.
10. H. Huttunen, T. Manninen, J-P. Kauppi and J. Tohka, "Mind Reading with Regularized Multinomial Logistic Regression," in Machine Vision and Applications, pp. 1-15, November 2012. [pdf] [software] [data]
11. H. Huttunen, T. Erkkilä, P. Ruusuvuori and T. Manninen, "The Eight Annual MLSP Competition: Second Place Team," in MLSP2012, Santander, Spain, September 2012.
12. P. Ruusuvuori, T. Manninen, and H. Huttunen, "Image Segmentation Using Sparse Logistic Regression with Spatial Prior," in EUSIPCO 2012, Bucharest, Romania, August 27-31, 2012.
13. H. Huttunen, H. Oinonen, J. Selinummi, P. Ruusuvuori, and V. Voipio, "Polynomial Pulp Fiber Modeling," in EUSIPCO 2012, Bucharest, Romania, August 27-31, 2012.
14. H. Huttunen, T. Manninen and J. Tohka, "MEG Mind Reading: Strategies for Feature Selection," in The Federated Computer Science Event 2012, Helsinki, May 28-29, 2012.
15. J. Mäkelä, H. Huttunen, M. Kandhavelu, O. Yli-Harja and A.S. Ribeiro, "Automatic detection of changes in the dynamics of delayed stochastic gene networks and in vivo production of RNA molecules in Escherichia coli," Bioinformatics, Aug. 2011.
16. H. Huttunen, J-P. Kauppi, J. Tohka, "Regularized logistic regression for mind reading with parallel validation," winning submission to ICANN2011 MEG challenge, p. 20-24, July 2011.
17. J-P. Kauppi, H. Huttunen, H. Korkala, I.P. Jääskeläinen, M. Sams and J. Tohka, "Face Prediction from fMRI Data During Movie Stimulus: Strategies for Feature Selection," Proc. of. ICANN 2011, June 2011.
18. H. Huttunen, J-P. Ryynänen, H. Forsvik, V. Voipio and H. Kikuchi, "Kernel Fisher Discriminant and Elliptic Shape Model for Automatic Measurement of Allergic Reactions," Proc. of. SCIA 2011, May 2011.
19. T. Manninen, R. Rönkkä and H. Huttunen, "Point Pattern Matching for 2-D Point Sets with Regular Structure," Proc. of. SCIA 2011, May 2011.
20. H. Huttunen, M. Valkama, J. Talvitie and M. Laaksonen, "Motivating the Mathematics Studies by Real-life Examples of Signal Processing and Communications Engineering," in Proc. IEEE DSPE2011 Workshop, Sedona, Arizona, Jan. 2011.
21. T. Manninen, V. Pekkanen, K. Rutanen, P. Ruusuvuori, R.Rönkkä and H. Huttunen, "Alignment of Individually Adapted Print Patterns for Inkjet Printed Electronics," Journal of Imaging Science and Technology, 54(5), Sept. 2010.

• Full list here.
• Google scholar profile

• Winning submission of the ICANN MEG mind reading challenge (2011).
  
• Winning submission of the DREAM6 challenge (2011)
• Second place in the Amazon Data Science Competition of IEEE MLSP Workshop (2012)
  
• Top 10% performer at IEEE MLSP 2013 Birds Challenge hosted at kaggle.com (2013)
  
• Second place in the DecMeg 2014 competition, Aug. 2014. [pdf] [code]

• The Matlab implementation of our mind reading algorithm for the ICANN2011 MEG challenge (see publications above).
• The Matlab implementation of our collaborative filtering method for the Amazon Access Data Competition of the MLSP2012 conference (see publications above).
• The Matlab implementation of the Bayesian Error Estimator proposed by Dalton et al., and used in our paper at the IEEE MLSP Workshop 2013.