Publications 2001

Note: The research cited here is property of the respective authors or/and the funding academic institutions.

Vesanto, J. Importance of Individual Variables in the k-means Algorithm. 5th Pacific-Area Conference on Knowledge Discovery in Databases (PAKDD2001), Hong Kong, April 16-18, 2001. pp. 513-518.

Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas. Rejection methods for an adaptive committee classifier, In Proceedings of ICDAR ’01, pp. 982-986, 2001.

Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas. Application of adaptive committee classifiers in on-line character recognition In Proceedings of ICAPR’01, pp. 270-279, 2001.

J. Himberg, K. Korpiaho, H. Mannila, J. Tikanmäki, and H.T.T. Toivonen. Time series segmentation for context recognition in mobile devices. In Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM 2001), pp. 203-210, San José, California, USA, 2001.

J. Himberg and A. Hyvärinen. Independent Component Analysis for Binary Data: an Experimental Study. In Proceedings of the 3rd International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), pp. 552-556, San Diego, California, USA, 2001.

J. Himberg, J. Mäntyjärvi, and P. Korpipää. Using PCA and ICA for exploratory data analysis in situation awareness. In Proceedings of the 2001 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2001), pp. 127-131, Baden-Baden, Germany, 2001.

J. Mäntyjärvi, J. Himberg, and T. Seppänen. Recognizing human motion with multiple acceleration sensors. In Proceedings of the 2001 IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, pp. 747-752, Tucson, Arizona, USA, 2001.

J. Mäntyjärvi, J. Himberg, P. Korpipää, and H. Mannila. Extracting the Context of a Mobile Device User. In Proceedings of the 8th IFAC IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (IFAC HMS 2001), pp. 450-500, Kassel, Germany, 2001.

J. Himberg, J. Ahola, E. Alhoniemi, J. Vesanto, and O. Simula, The Self-Organizing Map as a tool in knowledge engineering. In N. R. Pal, ed., Pattern Recognition in the Soft Computing Paradigm, pp. 38-65. World Scientific Publishing, 2001.

Kaski S, Sinkkonen J, Peltonen J: Bankruptcy analysis with self-organizing maps in learning metrics. IEEE Transactions on Neural Networks, 12:936_947, 2001.

Kaski S, Sinkkonen J, Nikkilä J: Clustering gene expression data by mutual information with gene function. In Georg Dor_ner, Horst Bischof, and Kurt Hornik, editors, Arti_cial Neural Networks – ICANN 2001, pages 81_86. Springer, Berlin, 2001.

Kaski S, Sinkkonen J, Peltonen J: Learning metrics for self-organizing maps. In Proceedings of IJCNN’01, International Joint Conference on Neural Net-works, pages 914_919. IEEE, Piscataway, NJ, 2001.

Kaski S, Sinkkonen J: A topography-preserving latent variable model with learning metrics. In N. Allinson, H. Yin, L. Allinson, and J. Slack, editors, Advances in Self-Organizing Maps, pages 224_229. Springer, London, 2001.

Nikkilä J, Törönen P, Sinkkonen J, Kaski S: Analysis of gene expression data using semi-supervised clustering. In Proceedings of Bioinformatics 2001, Skövde, Sweden, March 29-April 1, pages 2_3. 2001.

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