5384 works that have been based on the Self-OrganizingMap (SOM) method developed by KohonenPart II, authors from L to ZCompiled in the Neural Networks Resear h Centre at Helsinki Universityof Te hnologyP.O. Box 5400, HUT-02015 HUT, Finland(Konemiehentie 2, Espoo)Updates of this list will be available at the WWW addresshttp://www. is.hut.�/nnr /refs/

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Referen es(1996). Neural Networks: Produ ing Dependable Systems. Conferen e Pro eedings. Held in Solihull(England) on November 2, 1995.(1997a). Self-Organizing Feature Maps. (Latest Citations from the INSPEC Database). PublishedSear h.(1997b). WSOM'97: Workshop on Self-Organizing Maps. Held in Espoo, Finland on June 4�6,1997. Pro eedings.(1999). Pro ess unknowns ant hide from Kohonen. Solid State Te hnology, 42(6):28.(2001). Pro eedings IEEE ICCV workshop on re ognition, analysis, and tra king of fa es andgestures in real-time systems. IEEE Comput. So , Los Alamitos, CA, USA; 2001; viii+181pp.Laakso, S., Laaksonen, J., Koskela, M., and Oja, E. (2001). Self-organising maps of web linkinformation. In Allinson, N., Yin, H., Allinson, L., and Sla k, J., editors, Advan es in Self-Organising Maps, pages 146�151. Springer.Laaksonen, J. (1997a). Lo al subspa e lassi�er and lo al subspa e SOM. In Pro eedings ofWSOM'97, Workshop on Self-Organizing Maps, Espoo, Finland, June 4�6, pages 32�37.Helsinki University of Te hnology, Neural Networks Resear h Centre, Espoo, Finland.Laaksonen, J. (1997b). Subspa e lassi�ers in re ognition of handwritten digits. A ta Polyte hni aS andinavi a, Mathemati s, Computing and Management in Engineering Series, No. 84. Dr.Te h. Thesis, Helsinki University of Te hnology.Laaksonen, J., Hurri, J., Oja, E., and Kangas, J. (1998). Comparison of adaptive strategies foronline hara ter re ognition. In Niklasson, L., Bodén, M., and Ziemke, T., editors, ICANN98. Pro eedings of the 8th International Conferen e on Arti� ial Neural Networks, volume 1,pages 245�50, London, UK. Springer-Verlag London.Laaksonen, J., Koskela, M., Laakso, S., and Oja, E. (2000). Pi SOM� ontent-based image retrievalwith self-organizing maps. Pattern Re ognition Letters, 21(13�14):1199�1207.Laaksonen, J., Koskela, M., Laakso, S., and Oja, E. (2001). Self-organising maps as a relevan efeedba k te hnique in ontent-based image retrieval. PATTERN ANALYSIS AND APPLI-CATIONS, 4(2�3):140�152.Laaksonen, J., Koskela, M., and Oja, E. (1999a). Appli ation of tree stru tured self-organizingmaps in ontent-based image retrieval. In ICANN99. Ninth International Conferen e on Ar-ti� ial Neural Networks (IEE Conf. Publ. No.470), volume 1, pages 174�9, London, UK. IEE.Laaksonen, J., Koskela, M., and Oja, E. (1999b). Content-based image retrieval usingself-organizing maps. In Visual Information and Information Systems. Third InternationalConferen e, VISUAL'99. Pro eedings (Le ture Notes in Computer S ien e Vol.1614), pages541�8, Berlin, Germany. Springer-Verlag.Laaksonen, J., Koskela, M., and Oja, E. (1999 ). Pi SOM�a framework for ontent-based imagedatabase retrieval using self-organizing maps. In Pro . of 11th S andinavian Conferen e onImage Analysis (SCIA'99), Kangerlussuaq, Greenland, June 7�11, pages 151�156.Laaksonen, J., Koskela, M., and Oja, E. (1999d). Pi SOM: self-organizing maps for ontent-based image retrieval. In IJCNN'99. International Joint Conferen e on Neural Networks.Pro eedings., volume 4, pages 2470�3, Pis ataway, NJ. IEEE Servi e Center.Laaksonen, J., Koskela, M., and Oja, E. (1999e). Pi SOM: Self-organizing maps for ontent-basedimage retrieval. In Pro . of International Joint Conferen e on Neural Networks (IJCNN'99),Washington, D.C., USA, July 10�16. CD-ROM.2

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