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PUBLICATIONS 1998

Flanagan, J. A. Sufficient Conditions for Self-Organisation in the One-Dimensional SOM with a Reduced Width Neighbourhood. Neurocomputing, 1998, Vol. 21, pp. 51-60.

Flanagan, J. A. The Self-Organising Map, Robustness, Self-Organising Criticality and Power Laws. Proc. of European Symposium on Artificial Neural Networks (ESANN'98), Bruges, Belgium, April 22-24, 1998, pp. 209-214.

Himberg, J. Enhancing the SOM-based Data Visualization by Linking Different Data Projections. Proc. of 1st International Symposium IDEAL'98, Intelligent Data Engineering and Learning - Perspectives on Financial Engineering and Data Mining, Hong Kong, October 14-16, 1998, Springer, pp. 427-434.

Honkela, T., Lagus, K. & Kaski, S. Self-Organizing Maps of Large Document Collections. In: Deboeck, G. & Kohonen, T. (eds.), Visual Explorations in Finance with Self-Organizing Maps. London 1998, Springer, pp. 168-178.

Honkela, T., Kaski, S., Kohonen, T. & Lagus, K. Self-Organizing Maps of Very Large Document Collections: Justification for the WEBSOM Method. In: Balderjahn, I., Mathar, R. & Schader, M. (eds.), Classification, Data Analysis, and Data Highways. Berlin 1998, Springer, pp. 245-252.

Hurri, J., Gävert, H., Särelä, J. & Hyvärinen, A. FastICA Package for Matlab. Computer program. 1998. http://www.cis.hut.fi/projects/ica/fastica/.

Hyvärinen, A. Denoising of Sensory Data by Maximum Likelihood Estimation of Sparse Components. Proc. of International Conference on Artificial Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998, pp. 141-146.

Hyvärinen, A. Independent Component Analysis for Time-Dependent Stochastic Processes. Proc. of International Conference on Artificial Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998, pp. 135-140.

Hyvärinen, A. Independent Component Analysis in the Presence of Gaussian Noise by Maximizing Joint Likelihood. Neurocomputing, 1998, Vol. 22, pp. 49-67.

Hyvärinen, A. Independent Component Analysis in the Presence of Noise: A Maximum Likelihood Approach. Proc. of Workshop on Independence and Artificial Neural Networks (I&ANN'98), Tenerife, Spain, February 9-10, 1998, pp. 32-38.

Hyvärinen, A. New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit. In: Jordan, M.I., Kearns, M.J. & Solla, S.A. (eds.), Advances in Neural Information Processing 10 (NIPS'97, Denver, Colorado, December 2-4, 1997). Cambridge, MA 1998, MIT Press, pp. 273-279.

Hyvärinen, A. Noisy Independent Component Analysis, Maximum Likelihood Estimation, and Competitive Learning. Proc. of IEEE International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 2282-2287.

Hyvärinen, A. Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation. Report A51, Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland, 1998.

Hyvärinen, A. Sparse Regression: Utilizing the Higher-Order Structure of Data for Prediction. Proc. of International Conference on Artificial Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998, pp. 541-546.

Hyvärinen, A. Statistical Estimation in Conceptual Spaces. Proc. of International Conference on Artificial Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998, pp. 1071-1076.

Hyvärinen, A. & Honkela, T. Maladaptive Emotion-Based Behaviors in Autonomous Agents. Proc. of STeP'98, The 8th Finnish Artificial Intelligence Conference, Jyväskylä, Finland, September 7-9, 1998, pp. 218-226.

Hyvärinen, A., Hoyer, P. & Oja, E. Sparse Code Shrinkage for Image Denoising. Proc. of International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 859-864.

Hyvärinen, A. & Oja, E. Independent Component Analysis by General Nonlinear Hebbian-Like Learning Rules. Signal Processing, 1998, Vol. 64, nro 3, pp. 301-313.

Hyvärinen, A., Oja, E., Hoyer, P. & Hurri, J. Image Feature Extraction by Sparse Coding and Independent Component Analysis. Proc. of 14th International Conference on Pattern Recognition (ICPR'98), Brisbane, Australia, August 17-20, 1998, pp. 1268-1273.

Hyvärinen, A. & Pajunen, P. On Existence and Uniqueness of Solutions in Nonlinear Independent Component Analysis. Proc. IEEE International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 1350-1354.

Iivarinen, J. & Visa, A. Unsupervised Image Segmentation with the Self-Organizing Map and Statistical Methods. In: Casasent, D.P. (ed.), Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, Proc. SPIE 3522, pp. 516-526, 1998.

Iivarinen, J. & Rauhamaa, J. Surface Inspection of Web Materials Using the Self-Organizing Map. In: Casasent, D.P. (ed.), Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, Proc. SPIE 3522, pp. 96-103, 1998.

Iivarinen, J. & Visa, A. An Adaptive Texture and Shape Based Defect Classification. Proc. of 14th International Conference on Pattern Recognition, Brisbane, Australia, August 16-20, 1998. Vol. I, pp. 117-122.

Karhunen, J., Pajunen, P. & Oja, E. The Nonlinear PCA Criterion in Blind Source Separation: Relations with Other Approaches. Neurocomputing, 1998, Vol. 22, pp. 5-20.

Karhunen, J. & Pajunen, P. New Results on Nonlinear PCA Criterion in Blind Source Separation. Proc. of Workshop on Independence and Artificial Neural Networks (I&ANN'98), Tenerife, Spain, February 9-10, 1998, pp. 5-11.

Giannakopoulos, X., Karhunen, J. & Oja, E. An Experimental Comparison of Neural ICA Algorithms. Proc. of International Conference on Artificial Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998. Berlin 1998, Springer, pp. 651-656.

Karhunen, J., Pajunen, P. & Hyvärinen, A. Extending Neural ICA and Blind Source Separation for Nonlinear Data Models. Proc. of Workshop on Machines That Learn, Snowbird, Utah, USA, April 7-10, 1998, 2 p.

Cichocki, A., Karhunen, J., Kasprzak, W. & Vigario, R. Neural Networks for Blind Separation with Unknown Number of Sources. Helsinki University of Technology, Publications in Computer and Information Science, Report A54, Espoo, Finland, 1998, 46 p.

Karhunen, J. Book Review. Principal Component Neural Networks - Theory and Applications by K.I. Diamantaras and S.Y. Kung (New York, John Wiley 1996). Pattern Analysis and Applications, 1998, Vol. 1, pp. 74-75.

Kaski, S., Honkela, T., Lagus, K. & Kohonen, T. WEBSOM - Self-Organizing Maps of Document Collections. Neurocomputing, 1998, Vol. 21, pp. 101-117.

Kangas, J. & Kaski, S. 3043 Works that Have Been Based on the Self-Organizing Map (SOM) Method Developed by Kohonen. Report A49, Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland, 1998, 193 p.

Kaski, S. & Kohonen, T. Tips for Processing and Color-Coding of Self-Organizing Maps. In: Deboeck, G. & Kohonen, T. (eds.), Visual Explorations in Finance with Self-Organizing Maps. London 1998, Springer, pp. 195-202.

Kaski, S., Nikkilä, J. & Kohonen, T. Methods for Interpreting a Self-Organized Map in Data Analysis. Proc. of 6th European Symposium on Artificial Neural Networks (ESANN'98), Bruges, Belgium, April 22-24, 1998. Brussels, Belgium 1998, D-Facto, pp. 185-190.

Kaski, S. Dimensionality Reduction by Random Mapping: Fast Similarity Computation for Clustering. Proc. of International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998. Piscataway, NJ 1998, IEEE Service Center, vol. 1, pp. 413-418.

Kaski, S., Lagus, K., Honkela, T. & Kohonen, T. Statistical Aspects of the WEBSOM System in Organizing Document Collections. Proc. of 29th Symposium on the Interface, Houston, Texas, May 14-17, 1997. Fairfax Station, VA 1998, Interface Foundation of North America, vol. 29, pp. 281-290.

Kaski, S., Kangas, J. & Kohonen, T. Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997. Neural Computing Surveys, 1998, Vol. 1, nro 3&4, pp. 1-176.

Kiviluoto, K. & Oja, E. S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings. In: Jordan, M.I., Kearns, M.J. & Solla, S.A. (eds.), Advances in Neural Information Processing 10 (NIPS'97, Denver, Colorado, USA, December 2-4, 1997). Cambridge, MA 1998, The MIT Press, pp. 549-555.

Kiviluoto, K. & Oja, E. Softmax-Network and S-Map - Models for Density-Generating Topographic Mappings. Proc. of International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 2268-2272.

Kiviluoto, K. & Oja, E. Independent Component Analysis for Parallel Financial Time Series. Proc. of International Conference on Neural Information Processing (ICONIP'98), Kitakyushu, Japan, October 21-23, 1998, pp. 895-898.

Kiviluoto, K. Comparing 2D and 3D Self-Organizing Maps in Financial Data Visualization. Proc. of International Conference on Soft Computing and Information / Intelligent Systems (IIZUKA'98), Iizuka, Japan, October 16-20, 1998, pp. 68-71.

Kiviluoto, K. Predicting Bankruptcies with the Self-Organizing Map. Neurocomputing, 1998, Vol. 21, pp. 191-201.

Kiviluoto, K. & Bergius, P. Two-Level Self-Organizing Maps for Analysis of Financial Statements. Proc. of International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 189-192.

Kiviluoto, K. & Bergius, P. Exploring Corporate Bankruptcy with Two-Level Self-Organizing Maps. Decision Technologies for Computational Management Science, Proc. of Fifth International Conference on Computational Finance, London, December 15-17, 1997. Boston 1998, Kluwer Academic Publishers.

Kiviluoto, K. & Bergius, P. Maps for Analyzing Failures of Small and Medium-sized Enterprises. In: Deboeck, G. & Kohonen, T. (eds.), Visual Expolorations in Finance with Self-Organizing Maps. London 1998, Springer, pp. 59-71.

Kohonen, T. The Self-Organizing Map. Neurocomputing, 1998. Vol. 21, pp. 1-6.

Kohonen, T. & Somervuo, P. Self-Organizing Maps of Symbol Strings. Neurocomputing, 1998. Vol. 21, pp. 19-30.

Kohonen, T. Computation of VQ and SOM Point Densities Using the Calculus of Variations. Report A52, Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland, 1998.

Kohonen, T. The Self-Organizing Map Algorithms and their Applications in Science and Technology. Proc. of 6th European Congress on Intelligent Techniques & Soft Computing (EUFIT'98), Aachen, Germany, September 7-10, 1998. Aachen, Germany 1998, Elite Foundation, pp. 193-194.

Kohonen, T. Self-Organization of Very Large Document Collections: State of the Art. Proc. of 8th International Conference on Artificial Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998, pp. 65-74.

Kohonen, T. The SOM Methodology. In: Deboeck, G. & Kohonen, T. (eds.), Visual Explorations in Finance with Self-Organizing Maps. London 1998, Springer-Verlag, pp. 159-167.

Deboeck, G. & Kohonen, T. (eds.) Visual Explorations in Finance with Self-Organizing Maps. London 1998, Springer-Verlag. 258 p.

Kohonen, T. & Oja, E. Visual Feature Analysis by the Self-Organising Maps=2E Neural Computing & Applications, 1998. Vol. 7, pp. 273-286.

Kurimo, M. Self-Organization in Mixture Densities of HMM Based Speech Recognition. Proc. of European Symposium on Artificial Neural Networks (ESANN'98), Bruges, Belgium, April 22-24, 1998, pp. 237-242.

Kurimo, M. Improving Vocabulary Independent HMM Decoding Results by Using the Dynamically Expanding Context. Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'98), Seattle, WA, USA, May 12-15, 1998, pp. 833-836.

Lampinen, J., Laaksonen, J. & Oja, E. Pattern Recognition. In: Leondes, C=2ET. (ed.), Image Processing and Pattern Recognition. New York 1998, Academic Press, pp. 1-59.

Laaksonen, J. & Oja, E. Learning Subspace Classification and Error-Corrective Feature Extraction. International Journal of Pattern Recognition and Artificial Intelligence, 1998. Vol. 12, nro 4, pp. 423-436.

Laaksonen, J., Hurri, J., Oja, E. & Kangas, J. Experiments with a Self-Supervised Adaptive Classification Strategy in On-Line Recognition of Handwritten Latin Characters. Proc. of 6th Workshop on Frontiers of Handwriting Recognition, Taejon, Korea, August 12-14, 1998, pp. 475-484.

Laaksonen, J., Hurri, J., Oja, E. & Kangas, J. Comparison of Adaptive Strategies for On-Line Character Recognition. Proc. of International Conference on Neural Networks (ICANN'98), Skövde, Sweden, September 2-4, 1998, pp. 245-250.

Lagus, K. Generalizability of the WEBSOM Method to Document Collections of Various Types. Proc. of 6th European Congress on Intelligent Techniques & Soft Computing (EUFIT'98), Aachen, Germany, September 7-10, 1998, pp. 210-214.

Lappalainen, H. Using an MDL-Based Cost Function with Neural Networks. Proc. of International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 2384-2389.

Mäkipää, M., Ebeling, P., Heinonen, P. & Oja, E. Estimation of Glycolated Hemoglobin from Blood Glucose Measurement Data. Proc. of Computers in Diabetes, Barcelona, Spain, September 6-7, 1998.

Oja, E., Karhunen, J., Hyvärinen, A., Vigario, R. & Hurri, J. Neural Independent Component Analysis - Approaches and Applications. In: Kasabov, N. & Amari, S. (eds.), Brain-like Computing and Intelligent Information Systems. Singapore 1998, Springer, pp. 167-188.

Oja, E. & Hyvärinen, A. Independent Components in Image Processing. Proc. of SSAB Symposium on Image Analysis, Uppsala, Sweden, March 16-17, 1998, pp. 1-4.

Oja, E. & Karhunen, J. Information Theoretic and Nonlinear PCA Approaches to Independent Component Analysis. Workshop on Machines That Learn, Snowbird, Utah, April 7-10, 1998, 2 p.

Kallioniemi, I., Saarinen, J. & Oja, E. Optical Scatterometry of Subwavelength Diffraction Gratings: Neural Networks Approach. Applied Optics, 1998. Vol. 37, nro 25, pp. 5830-5835.

Oja, E. From Neural Learning to Independent Components. Neurocomputing, 1998. Vol. 22, pp. 187-200.

Oja, E. ICA Learning Rules: Stationary, Stability, and Sigmoids. Proc. of International Workshop on Independence and Artificial Neural Networks (I&ANN'98), La Laguna, Spain, February 9-10, 1998, pp. 87-103.

Oja, E. The Nonlinear PCA Approach to ICA. Proc. of International Conference on Neural Information Processing (ICONIP'98), Kitakyushu, Japan, October 21-23, 1998, pp. 725-728.

Oja, E. Signal Decomposition by FastICA. Proc. of International Conference on Neural Information Processing (ICONIP'98), Kitakyushu, Japan, October 21-23, 1998, pp. 594-602.

Joutsensalo, J. & Pajunen, P. Blind Symbol Learning Algorithm for CDMA Systems. Proc. of IEEE International Joint Conference on Neural Networks (IJCNN'98), Anchorage, Alaska, May 4-9, 1998, pp. 152-155.

Joutsensalo, J. & Pajunen, P. Symbol Separation in Oversaturated CDMA System. Proc. of Fifth International Symposium on Spread Spectrum Techniques and Applications (ISSSTA'98), Sun City, South Africa, September 2-4, 1998, pp. 498-501.

Koivunen, V., Pajunen, P., Karhunen, J. & Oja, E. Blind Separation from e-Contaminated Mixtures. Proc. of IX European Signal Processing Conference (EUSIPCO'98), Rhodes, Greece, September 8-11, 1998, vol. III, pp. 1817-1820.

Pajunen, P. Blind Source Separation Using Algorithmic Information Theory. Proc. of Workshop on Independence and Artificial Neural Networks (I&ANN'98), Rhodes, Greece, February 9-10, 1998, pp. 26-31.

Pajunen, P. Blind Source Separation Using Algorithmic Information Theory. Neurocomputing, 1998. Vol. 22, pp. 35-48.

Ypma, A. & Pajunen, P. Second-Order ICA in Machine Vibration Analysis. Helsinki University of Technology, Publications in Computer and Information Science, Report A53, Espoo, Finland, 1998, 54 p.

Peura, M. Object Recognition via Hierarchical Matching. Proc. of XXIII Convention on Radio Science and Remote Sensing Symposium, Espoo, Finland, August 24-25, 1998, pp. 91-92.

Peura, M., Koistinen, J. & King, R. Visual Modelling of Radar Images. Proc. of COST-75 Final International Seminar on Advanced Weather Radar Systems, Locarno, Switzerland, March 23-27, 1998.

Peura, M. The Self-Organizing Map of Trees. Neural Processing Letters, 1998. Vol. 8, pp. 155-162.

Raivio, K., Henriksson, J. & Simula, O. Neural Detection of QAM Signal with Strongly Nonlinear Receiver. Neurocomputing, 1998. Vol. 21, nro 3, pp. 159-171.

Korhonen, A., Cser, L., Larkiola, J., Myllykoski, P., Simula, O. & Ahola, J. Application of Neural Networks for Modelling of Rolling and Annealing of Steel Strip. Proc. of ESAFORM Conference, Sophia-Antipolis, France, March 20-28, 1998, pp. 251-254.

Simula, O., Vesanto, J. & Vasara, P. Analysis of Industrial Systems Using the Self-Organizing Map. Proc. of 1998 Second International Conference on Knowledge-Based Intelligent Engineering Systems (KES'98), Adelaide, Australia, April 21-23, 1998, pp. 61-68.

Cser, L., Korhonen, A., Simula, O., Larkiola, J., Myllykoski, P. & Ahola, J. Knowledge Based Methods in Modelling of Rolling. Proc. of CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, Capri, Italy, July 1-3, 1998, pp. 265-271.

Cser, L., Korhonen, A., Simula, O., Larkiola, J. & Ahola, J. The SOM Based Data Mining in Hot Rolling. Proc. of 4th International Symposium on Measurement Technology and Intelligent Instruments (ISMTII'98), Miskolc, Hungary, September 2-4, 1998.

Särelä, J., Vigario, R., Jousmäki, V., Hari, R. & Oja, E. ICA for the Extraction of Auditory Evoked Fields. Proc. of 4th International Conference on Functional Mapping of the Human Brain (HBM'98), Montreal, Canada, June 7-12, 1998, p. 664.

Tang, H. & Simula, O. Another Dimension of Flow Control for the Intelligent Node. International Conference on Telecommunications (ICT'98), Chalkidiki, Greece, June 22-25, 1998, pp. 425-429.

Valkealahti, K. & Oja, E. Reduced Multidimensional Co-Occurrence Histograms in Texture Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998. Vol. 20, pp. 90-94.

Valkealahti, K. & Oja, E. Texture Classification with Single- and Multiresolution Co-Occurrence Maps. International Journal of Pattern Recognition and Artificial Intelligence, 1998. Vol. 12, pp. 437-452.

Valkealahti, K. & Oja, E. Reduced Multidimensional Histograms in Color Textrure Description. Proc. of 14th International Conference on Pattern Recognition, Brisbane, Australia, August 17-20, 1998, pp. 1057-1061.

Vesanto, J., Himberg, J., Siponen, M. & Simula, O. Enhancing SOM Based Data Visualization. Proc. of 5th International Conference on Soft Computing and Information / Intelligent Systems (IIZUKA'98), Iizuka, Japan, October 16-20, 1998, pp. 64-67.

Vigario, R., Jousmäki, V., Hämäläinen, M., Hari, R. & Oja, E. Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. In: Jordan, M.I., Kearns, M.J., & Solla, S.A. (eds.), Advances in Neural Information Processing Systems 10 (NIPS'97, Denver, Colorado, USA, December 2-4, 1997). Cambridge, MA 1998, The MIT Press, pp. 229-235.

Vigario, R., Särelä, J. & Oja, E. Independent Component Analysis in Wave Decomposition of Auditory Evoked Fields. Proc. of International Conference on Artificial Neural Networks, Skövde, Sweden, September 2-4, 1998, pp. 287-292.



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