University of Helsinki Department of Computer Science
 

Department of Computer Science

Department information

 

Kjell Lemström

 
  • PhD, Adjunct Professor (Dosentti)
  • University Lecturer
  • Organization: University of Helsinki, Department of Computer Science
  • Email: Kjell . Lemstrom AT cs . Helsinki . FI (replace " AT " by "@")

  • Phone:+ 358 9 191 51282
  • Mobile:+ 358 50 415 5554
  • Fax:+ 358 9 191 51120


  • Department of Computer Science 
    PL 68 (Gustaf Hällströmin katu 2b)
    FIN-00014 UNIVERSITY OF HELSINKI, FINLAND
  • Office location: Gustaf Hällströmin katu 2b, 00560 Helsinki, room B231
  • Office hours: Wednesdays 13-14.
    On summer vacation until August 8.
     

- Teaching in Autumn 2010

- Research Interests

  • Music Informatics
  • Ubiquitos Music
  • String Algorithms
  • Computational Geometry
  • Digital Image Processing

- Committee Memberships

- Projects

  • Content-Based Retrieval and Analysis of Harmony and other Music Structures (C-BRAHMS)
  • Intelligent Sound and Music Systems (ISMS)

- Theses

  • Digitaalisen kuvan kvantisointi ja ditterointi (Digital image quantizing and dithering, M.Sc. thesis in Finnish), Report C-1995-22, University of Helsinki, Department of Computer Science, March 1995.
  • Expressing Approximate Pattern Matching with Transitive Closure Logic, Laudatur thesis, University of Helsinki, Department of Mathematics, March 1999.
  • String Matching Techniques for Music Retrieval, PhD thesis, A-2000-4, University of Helsinki, Department of Computer Science, November, 2000.

- Most Recent Publications

2010

  • Kjell Lemström, Niko Mikkilä and Veli Mäkinen: Filtering Methods for Content-Based Retrieval on Indexed Symbolic Music Databases. In Journal of Information Retrieval, 13 (1), pp. 1-21, 2010.
  • Kjell Lemström: Transposition and Time-Scale Invariant Geometric Music Retrieval. In Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday (Eds. Tapio Elomaa, Pekka Orponen, Heikki Mannila), Springer-Verlag, LNCS 6060, pp. 170-181, 2010.
  • Mikko Karvonen, Mika Laitinen, Kjell Lemström and Juho Vikman: Applying Mathematical Morphology for Content-Based Music Retrieval. To appear in Proc. CMMR 2010, Malaga, Spain, June, 2010.
  • Kjell Lemström: Towards More Robust Geometric Content-Based Music Retrieval. To appear in Proc. ISMIR, Utrecht, the Netherlands, August 2010.

    2009

  • Väinö Ala-Härkönen, Jussi Brunberg, Kjell Lemström and Niko Mikkilä: A content-based music retrieval engine: JMIR-Mozart. Musicae Scientiae, Discussion Forum 4b: 235-256, 2009.
  • David Rizo, Kjell Lemström, José M. Iñesta: Ensemble of state-of-the-art methods for polyphonic music comparison. Proceedings of the Workshop on Exploring Musical Information Spaces, ECDL 2009, ISBN: 978-84-692-6082-1, pp. 46-51, Corfu, Greece, 2009.
  • Kjell Lemström and Geraint A. Wiggins: Formalizing Invariances for Content-based Music Retrieval. In Proc. ISMIR'09, 10th International Society for Music Information Retrieval Conference, pp. 591-596, Kobe, Japan, October 26-30, 2009.
  • David Rizo, Kjell Lemström, José M. Iñesta: Tree representation in combined polyphonic music comparison. Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music. Lecture Notes in Computer Science, vol. 5493, pp. 177-195, 2009.
  • Kjell Lemström and George Tzanetakis: Music Information Retrieval in Polyphonic Music. In Encyclopedia of Library and Information Sciences, Third Edition (Eds. Marcia J. Bates, Mary Niles Maack), CRC Press, ISBN: 978-0-8493-9712-7, December, 2009.

    2008

  • Kjell Lemström, Niko Mikkilä and Veli Mäkinen: Fast Index Based Filters for Music Retrieval. In Proc. ISMIR'08, 9th International Conference on Music Information Retrieval, pp. 677-682, Philadelphia, PA, USA, September 14-18, 2008.
  • Teppo Ahonen and Kjell Lemström: Identifying Cover Songs Using Normalized Compression Distance. In International Workshop on Machine Learning and Music (MML'08), Helsinki, Finland, July 9, 2008.
  • Mikko Karvonen and Kjell Lemström: Using Mathematical Morphology for Geometric Music Information Retrieval. In International Workshop on Machine Learning and Music (MML'08), Helsinki, Finland, July 9, 2008.
  • Väinö Ala-Härkönen, Johan Brunberg, Kjell Lemström and Niko Mikkilä: JMIR serves Mozart. In Proc. Computer Music Modeling and Retrieval 2008 (CMMR'08), pp. 148-157, Copenhagen, Denmark, May 19-23, 2008.
  • David Rizo, Kjell Lemström and José Manuel Iñesta: Tree structured and combined methods for comparing metered polyphonic music. In Proc. Computer Music Modeling and Retrieval 2008 (CMMR'08), pp. 263-278, Copenhagen, Denmark, May 19-23, 2008.

    - A More Comprehensive List of Publications

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