Research
Teaching
People
Jobs
Demos
Links
Local
PUBLICATIONS 1999
Ahola, J., Alhoniemi, E. & Simula, O.Monitoring Industrial Processes Using the Self-Organizing Map.
1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications (SMCia'99), Kuusamo, Finland, June 16-18, 1999. pp. 22-27.
Keywords: data analysis, neural networks, process modeling, system monitoring
Alhoniemi, E., Himberg, J. & Vesanto, J.
Probabilistic Measures for Responses of Self-Organizing Map Units.
International ICSC Congress on Computational Intelligence Methods and Applications (CIMA'99), Rochester, N.Y., USA, June 22-25, 1999. 1999, ICSC Academic Press, pp. 286-290.
Keywords: distribution modeling, self-organizing map
Alhoniemi, E., Hollmén, J., Simula, O. & Vesanto, J.
Process Monitoring and Modeling Using the Self-Organizing Map.
Integrated Computer-Aided Engineering, 1999. Vol. 6, No. 1, pp. 3-14.
Keywords: modeling, monitoring, process analysis, self-organizing map
Bingham, E.
Reinforcement Learning in Neurofuzzy Traffic Signal Control.
11th Mini-EURO Conference on Artificial Intelligence in Transportation Systems and Science, and the 7th EURO-Working Group Meeting on Transportation, Espoo, Finland, August 2-6, 1999. paper XLI.
Keywords: fuzzy sets, neural networks, reinforcement learning, traffic signal control
Cichocki, A., Karhunen, J., Kasprzak, W. & Vigário, R.
Neural Networks for Blind Separation with Unknown Number of Sources.
Neurocomputing, 1999. Vol. 24, No. 1-3, pp. 55-94.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Cser, L., Korhonen, A.S., Gulyas, J., Mäntylä, P., Simula, O., Reiss, G. & Ruha, P.
Data Mining and State Monitoring in Hot Rolling.
2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM'99, Honolulu, July 10-15, 1999. Honolulu 1999, pp. 529-537.
Keywords: data mining, hot rolling
Cser, L., Korhonen, A.S., Mäntylä, P. & Simula, O.
Data mining in improving the geometric quality parameters of hot rolled strips.
International Conference on Quality Manufacturing, South Africa, Jan. 13-15, 1999. Stellenbosch, Etelä-Afrikka 1999, pp. 8-15.
Keywords: data mining, cold rolling, steel strips, quality
Cser, L., Korhonen, A.S., Simula, O. & Ruha, P.
Process State Monitoring Based on Data Mining in Hot Rolling.
6th ICTP, Nuremberg, Sept. 19-24, 1999. Saksa 1999, pp. 129-136.
Keywords: process monitoring, data mining, rolling
Flanagan, A.
Self-Organisation in the SOM with a Decreasing Neighborhood Function of Any Width.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 156-161.
Keywords: general neighborhood, self-organization, SOM
Giannakopoulos, X., Karhunen, J. & Oja, E.
A Comparison of Neural ICA Algorithms using Real-World Data.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: blind source separation, independent component analysis, experimental comparison, learning algorithms, neural networks
Giannakopoulos, X., Karhunen, J. & Oja, E.
An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation.
International Journal of Neural Systems, 1999. Vol. 9, No. 2, pp. 99-114.
Keywords: blind source separation, experimental comparison, learning algorithms, neural networks, independent component analysis
Hollmén, J. & Tresp, V.
Call-based Fraud Detection in Mobile Communication Networks using a Hierarchical Regime-Switching Model.
In: Kearns, M.S., Solla, S.A & Cohn, D.A. (eds.), Advances in Neural Information Processing 11. Cambridge 1999, MIT Press, pp. 889-895.
Hollmén, J., Tresp, V. & Simula, O.
A Self-Organizing Map for Clustering Probabilistic Models.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. pp. 946-951.
Keywords: fraud detection, neural networks, probabilistic models
Hoyer, P. & Hyvärinen, A.
Estimating Signal-Adapted Wavelets Using Sparseness Criteria.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: multiresolution representations, sparse coding, wavelets
Hyvärinen, A.
Beyond Independent Components.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 809-814.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Fast and Robust Fixed-Point Algorithms for Independent Component Analysis.
IEEE Transactions on Neural Networks, 1999. Vol. 10, No. 3, pp. 626-634.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Fast Independent Component Analysis with Noisy Data Using Gaussian Moments.
IEEE International Symposium on Circuits and Systems (ISCAS'99), Orlando, Florida, USA, May 30 - June 2, 1999. pp. V57-V61.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Gaussian Moments for Noisy Independent Component Analysis.
IEEE Signal Processing Letters, 1999. Vol. 6, No. 6, pp. 145-147.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Noisy Independent Component Analysis by Gaussian Moments.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 473-478.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Regression Using Independent Component Analysis, and Its Connection to Multi-Layer Perceptrons.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 491-496.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation.
Neural Computation, 1999. Vol. 11, No. 7, pp. 1739-1768.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
Survey on Independent Component Analysis.
Neural Computing Surveys, 1999. Vol. 2, pp. 94-128.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A.
The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis.
Neural Processing Letters, 1999. Vol. 10, No. 1, pp. 1-5.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A., Cristescu, R. & Oja, E.
A Fast Algorithm for Estimating Overcomplete ICA Bases for Image Windows.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A. & Hoyer, P.
Emergence of Complex Cell Properties by Decomposition of Natural Images into Independent Feature Subspaces .
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 257-262.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A. & Hoyer, P.
Independent Subspace Analysis Shows Emergence of Phase and Shift Invariant Features from Natural Images.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A., Hoyer, P. & Oja, E.
Denoising of Nongaussian Data by Independent Component Analysis and Sparse Coding.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 485-489.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A., Hoyer, P. & Oja, E.
Sparse Coding Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation.
NIPS'98, Denver, Colorado, USA, December 1-3, 1998. 1999, MIT Press, pp. 473-479 .
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A. & Pajunen, P.
Nonlinear Independent Component Analysis: Existence and Uniqueness Results.
Neural Networks, 1999. Vol. 12, No. 3, pp. 429-439.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Hyvärinen, A., Särelä, J. & Vigário, R.
Spikes and Bumps: Artefacts Generated by Independent Component Analysis with Insufficient Sample Size.
Interntational Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 425-429.
Keywords: blind source separation, independent component analysis, neural networks, unsupervised learning
Iivarinen, J.
Unsupervised Segmentation of Surface Defects with Simple Texture Measures.
Workshop of Texture Analysis in Machine Vision, Oulu, Finland, June 14-15, 1999. pp. 53-58.
Keywords: local binary pattern, self-organizing map, texture analysis, unsupervised learning
Kallioniemi, I., Saarinen, J. & Oja, E.
Characterization of Diffraction Gratings in a Rigorous Domain with Optical Scatterometry: Hierarchical Neural-Network Model.
Applied Optics, 1999. Vol. 38, No. 28 , pp. 5920-5930.
Keywords: diffraction gratings, inverse problems, neural networks
Karhunen, J.
Top Research in Learning and Adaptive Information Processing Systems.
Polysteekki, 1999. No. 3, pp. 4-7.
Keywords: independent component analysis, information technology, learning systems, neural networks
Karhunen, J. & Malaroiu, S.
Local Independent Component Analysis Using Clustering.
First International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 43-48.
Keywords: independent component analysis, clustering, local method, neural networks, unsupervised learning
Karhunen, J. & Malaroiu, S.
Locally Linear Independent Component Analysis.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: clustering, independent component analysis, local method, neural networks, unsupervised learning
Kaski, S.
Fast Winner Search for SOM-Based Monitoring and Retrieval of High-Dimensional Data.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 940-945.
Keywords: nearest neighbor search, tree-search, self-organizing map (SOM), winner search
Kaski, S. & Sinkkonen, J.
Metrics Induced by Maximizing Mutual Information.
Espoo, Finland: 1999. (Helsinki University of Technology, Publications in Computer and Information Science Report A55).
Keywords: discriminant analysis, feature extraction, invariance, kullback-leibler divergence, mutual information
Kaski, S., Venna, J. & Kohonen, T.
Coloring that Reveals High-Dimensional Structures in Data.
6th International Conference on Neural Information Processing (ICONIP'99), Perth, Australia, November 16-20, 1999. Piscataway, NJ 1999, IEEE Service Center, vol. II, pp. 729-734.
Keywords: clustering, data mining, nonlinear projection, self-organizing map (SOM), visualization
Kohonen, T.
Analysis of Processes and Large Data Sets by a Self-Organizing Method.
2nd International Conference on Intelligent Processing and Manufacturing of Materials (IPMM'99), Honolulu, Hawaii, July 10-15, 1999. 1999, IEEE, vol. 1, pp. 27-36.
Keywords: classification, data mining, projection, self-organizing map
Kohonen, T.
Comparison of SOM Point Densities Based on Different Criteria.
Neural Computation, 1999. Vol. 11, No. 8, pp. 2081-2095.
Keywords: calculus of variations, density estimation, point density, self-organizing map
Kohonen, T.
Data Mining by the Self-Organizing Map Method.
In: Bouchon-Meunier, B., Yager, R.R. & Zadeh, L.A. (eds.), Uncertainty in Intelligent and Information Systems. 1999, World Scientific,
Keywords: classification, data mining, projection, self-organizing map
Kohonen, T.
Exploration of Statistical and Textual Information by Means of Self-Organizing Maps.
52nd Session of the International Statistical Institute (ISI'99), Helsinki, Finland, August 10-18, 1999. Book 1, pp. 307-310.
Keywords: data mining, classification, projection, self-organizing map
Kohonen, T.
Fast Evolutionary Learning with Batch-Type Self-Organizing Map.
Neural Processing Letters, 1999. Vol. 9, pp. 153-162.
Keywords: batch map, evolutionary learning, genetic algorithm, self-organizing map
Kohonen, T.
Informaation käsittely ja sen rajat.
Tietojenkäsittelytiede, 1999. No. joulukuu, pp. 15-19.
Keywords: computers, future, self-organizing map, soft computing
Kohonen, T.
Spotting Relevant Information in Extremely Large Document Collections.
6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999. Berlin 1999, Springer, pp. 59-61.
Keywords: data mining, knowledge discovery in databases, self-organizing map, WEBSOM
Kohonen, T.
Uudet informaation käsittelyn menetelmät ja niiden tulevaisuusrelevanssi.
In: Kuusi, O. & Niiniluoto, I. (eds.), Edistyvien ja rikastuvien tieteiden vaikutukset tulevaisuuteen. Helsinki 1999, Tulevaisuuden tutkimuksen seura r.y., pp. 37-54.
Keywords: computers, future, self-organizing map, soft computing
Kohonen, T. & Hari, R.
Where the Abstract Feature Maps of the Brain Might Come from.
Trends in Neurosciences, 1999. Vol. 22, No. 3 , pp. 135-139.
Keywords: brain organization, cortex, feature map, self-organizing map
Kohonen, T., Kaski, S., Lagus, K., Salojärvi, J. Honkela, J., Paatero, V. & Saarela, A.
Self-Organization of a Massive Text Document Collection.
In: Oja, E. & Kaski, S. (eds.), Kohonen Maps. Amsterdam 1999, Elsevier, pp. 171-182.
Keywords: content-addressable search, knowledge discovery, large self-organizing maps, patent abstracts, text eploration
Koivunen, V. & Oja, E.
Predictor - Corrector Structure for Real Time Blind Separation from Noisy Mixtures.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 479-484.
Keywords: ICA, blind separation, Kalman filters, signal tracking
Laakso, K., Sirola, M. & Holmberg, J.
Decision Modelling for Maintenance and Safety.
International Journal of Comadem (Condition Monitoring & Diagnostic Engineering Management), 1999. Vol. 2, No. 3, pp. 13-17.
Keywords: decision modelling, decision analysis, maintenance, safety
Laaksonen, J., Aksela, M., Oja, E. & Kangas, J.
Adaptive Local Subspace Classifier in On-line Recognition of Handwritten Characters.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: adaptive handwritten character recognition, subspace classifier
Laaksonen, J., Aksela, M., Oja, E. & Kangas, J.
Dynamically Expanding Context as Committee Adaptation Method in On-line Recognition of Handwritten Latin Characters.
5th International Conference on Document Analysis and Recognition (ICDAR'99), Bangalore, India, September 20-22, 1999. pp. 796-799.
Keywords: adaptive, handwritten character recognition, committee
Laaksonen, J., Koskela, M. & Oja, E.
Content-Based Image Retrvieval using Self-Organizing Maps.
Third International Conference on Visual Information Systems (VISual'99), Amsterdam, The Netherlands, June 2-4, 1999. pp. 541-548.
Keywords: content-based image retrieval, image databases, neural networks, self-organizing map
Laaksonen, J., Koskela, M. & Oja, E.
PicSOM - A Framework for Content-Based Image Database Retrieval using Self-Organizing Maps.
11th Scandinavian Conference on Image Analysis (SCIA'99), Kangerlussuaq, Greenland, June 7-11, 1999. pp. 151-156.
Keywords: content-based image retrieval, image databases, neural networks, self-organizing map
Laaksonen, J., Koskela, M. & Oja, E.
PicSOM: Self-Organizing Maps for Content-Based Image Retrieval.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: content-based image retrieval, image databases, neural networks, performance evaluation, self-organizing maps
Laaksonen, J, Koskela, M. & Oja, E.
Self-Organizing Maps in Content-Based Image Retrieval.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 174-179.
Keywords: content-based image retrieval, image databases, neural networks, performance evaluation, self-organizing map
Laaksonen, J., Vuori, V., Oja, E. & Kangas, J.
Adaptation of Prototype Sets in On-line Recognition of Isolated Handwritten Latin Characters.
In: Lee, S.-W. (ed.), Advances in Handwriting Recognition. 1999, World Scientific, pp. 489-497.
Keywords: adaptation, character, handwriting, on-line, recognition
Lagus, K., Honkela, T., Kaski, S. & Kohonen, T.
WEBSOM for Textual Data Mining.
Artificial Intelligence Review, 1999. Vol. 13, No. 5/6, pp. 345-364.
Keywords: email filtering, self-organizing map, text exploration, WEBSOM
Lagus, K. & Kaski, S.
Keyword Selection Method for Characterizing Text Document Maps.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 371-376.
Keywords: characterizing clusters of text, keyword selection, labeling document maps, self-organizing map, WEBSOM
Lappalainen, H.
Ensemble Learning for Independent Component Analysis.
First International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 7-12.
Keywords: independent component analysis, ensemble learning, neural networks, unsupervised learning
Lappalainen, H.
Fast Fixed-Point Algorithms for Bayesian Blind Source Separation.
Espoo, Finland: 1999. 7 p. (Helsinki University of Technology, Publications in Computer and Information Science Report A56).
Keywords: independent component analysis, blind source separation, ensemble learning, neural networks, unsupervised learning
Lappalainen, H. & Giannakopoulos, X.
Multi-Layer Perceptrons as Nonlinear Generative Models for Unsupervised Learning: A Bayesian Treatment.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, pp. 19-24.
Keywords: blind source separation, ensemble learning, neural networks, nonlinear modeling, unsupervised learning
Lappalainen, H., Giannakopoulos, X. & Karhunen, J.
Nonlinear Blind Source Separation Using Ensemble Learning.
Workshop on Machines That Learn, Snowbird, Utah, USA, April 6-9, 1999. 2 p..
Keywords: blind source separation, ensemble learning, neural networks, nonlinear model, unsupervised learning
Oja, E.
Adaptive and Intelligent Systems Applications.
IEEE Workshop on Soft Computing Methods in Industrial Applications (SMCia'99), Kuusamo, Finland, June 16-18, 1999.
Keywords: data mining, neural networks, networks of excellence, self-organizing map
Oja, E.
Nonlinear PCA Criterion and Maximum Likelihood in Independent Componen Analysis.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 143-148.
Keywords: ICA, higher-order statistics, maximum likelihood, PCA
Oja, E. and Kiviluoto, K.
Data Analysis, Visualization, and Hidden Factor Discovery by Unsupervised Learning.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: data mining, ICA, self-organizing map, signal separation
Oja, E., Hyvärinen, A. & Hoyer, P.
Image Feature Extraction and Denoising by Sparse Coding.
Pattern Analysis and Applications, 1999. Vol. 2, pp. 104-110.
Keywords: denoising, feature extraction, independent component analysis, sparse coding
Oja, E. & Kaski, S. (eds.)
Kohonen Maps.
Amsterdam 1999, Elsevier. 390 p.
Keywords: data mining, Kohonen maps, neural networks, self-organizing map, statistics
Oja, E., Laaksonen, J., Koskela, M. & Brandt, S.
Self-Organizing Maps for Content-Based Image Database Retrieval.
In: Oja, E. & Kaski, S. (eds.), Kohonen Maps. Amsterdam 1999, Elsevier, pp. 349-362.
Keywords: content-based image retrieval, image databases, neural networks, self-organizing map, performance evaluation
Pajunen, P.
Blind Source Separation of Natural Signals Based on Approximate Complexity Minimization.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 267-270.
Keywords: blind source separation, ICA
Peura, M.
Attribute Trees in Image Analysis - Heuristic Matching and Learning Techniques.
International Conference on Image Analysis and Processing (ICIAP'99), Venice, Italy, September 27-29, 1999. pp. 1160-1165.
Keywords: self-organizing map, tree indexing, tree matching, trees, heuristics
Peura, M.
Classifying, Monitoring and Tracking Precipitation Cells by Means of Attribute Trees.
29th International Conference on Radar Meteorology, Montreal, Quebec, Canada, July 12-16, 1999. Boston 1999, American Meteorological Society, pp. 86-89.
Keywords: tree indexing, tree matching, trees, weather radar
Peura, M.
The Self-Organizing Map of Attribute Trees.
Ninth International Conference on Artificial Neural Networks (ICANN'99), Edinburgh, U.K., September 7-10, 1999. London 1999, IEE Press, vol. 1, pp. 168-172.
Keywords: self-organizing map, tree indexing, tree matching, trees
Peura, M., Saltikoff, E. & Syrjäsuo, M.
Image Analysis by Means of Attribute Trees - Remote Sensing Applications.
IEEE 1999 International Geoscience and Remote Sensing Symposium (IGARSS'99), Hamburg, Germany, June 28 - July 2, 1999. vol. 1, pp. 696-698.
Keywords: aurora borealis, northern light, spatial hierarchy, trees, weather radar
Simula, O., Ahola, J., Alhoniemi, E., Himberg, J. & Vesanto, J.
Self-Organizing Map in Analysis of Large-Scale Industrial Systems.
In: Oja, E. & Kaski, S. (eds.), Kohonen Maps. Amsterdam 1999, Elsevier, pp. 375-387.
Keywords: data analysis, neural networks, process modeling, system monitoring
Simula, O. & Alhoniemi, E.
SOM Based Analysis of Pulping Process Data.
International Work-Conference on Artificial and Natural Neural Networks (IWANN'99), Alicante, Spain, June 2-4, 1999. pp. 567-577.
Keywords: data analysis, neural networks, process modeling, system monitoring
Simula, O., Vasara, P., Vesanto, J. & Helminen, R.-R.
The Self-Organizing Map in Industry Analysis.
In: Jain, L.C. & Vemuri, V.R. (eds.), Intelligent Techniques in Industry. 1999, CRC Press LLC, Chapt. 4, pp. 87-112.
Keywords: data analysis, industry analysis, neural networks
Simula, O., Vesanto, J., Alhoniemi, E. & Hollmén, J.
Analysis and Modeling of Complex Systems Using the Self-Organizing Map.
In: Kasabov, N. & Kozma, R. (eds.), Neuro-Fuzzy Techniques for Intelligent Information Systems. 1999, Physica-Verlag, pp. 3-22.
Keywords: data analysis, neural networks, process modeling, system monitoring
Sirola, M.
Computerized Decision Support Systems in Failure and Maintenance Management of Safety Critical Processes.
Espoo: VTT, 1999. 123 p. + app. 24 p. (VTT Publications 397).
Keywords: computerized decision support systems, knowledge-based systems, failure management, maintenance management, decision analysis, safety critical processes
Somervuo, P.
Redundant Hash Addressing of Feature Sequences Using the Self-Organizing Map.
Neural Processing Letters, 1999 . Vol. 10, No. 1, pp. 25-34.
Keywords: music retrieval, redundant hash addressing, self-organizing map, sequence processing, speech recognition
Somervuo, P.
Time Topology for the Self-Organizing Map.
International Joint Conference on Neural Networks (IJCNN'99), Washington, D.C., USA, July 10-16, 1999.
Electronic publication (CD-ROM)
Keywords: self-organizing map, sequence processing, speech recognition, time series
Somervuo, P. & Kohonen, T.
Self-Organizing Maps and Learning Vector Quantization for Feature Sequences.
Neural Processing Letters, 1999. Vol. 10, No. 2, pp. 151-159.
Keywords: dynamic time warping, learning vector quantization, self-organizing map, sequence processing, speech recognition
Vesanto, J.
SOM-Based Data Visualization Methods.
Intelligent Data Analysis, 1999. Vol. 3, No. 2, pp. 111-126.
Keywords: data mining, self-organizing map, vector quantization, visualization, projection
Vesanto, J. & Ahola, J.
Hunting for Correlations in Data Using the Self-Organizing Map.
International ICSC Congress on Computational Intelligence Methods and Applications (CIMA'99), Rochester, New York, USA, June 22-25, 1999. 1999, ICSC Academic Press, pp. 279-285.
Keywords: correlation hunting, data mining, self-organizing map
Vesanto, J., Alhoniemi, E., Himberg, J., Kiviluoto, K. & Parviainen, J.
Self-Organizing Map for Data Mining in MATLAB: The SOM Toolbox.
Simulation News Europe, 1999. No. 25, p. 54.
Keywords: data mining, Matlab, self-organizing map, visualizatio
Vesanto, J., Himberg, J., Alhoniemi, E. & Parhankangas, J.
Self-Organizing Map in Matlab: the SOM Toolbox.
Matlab DSP Conference 1999, Espoo, Finland, November 16-17, 1999. pp. 35-40.
Keywords: data mining, Matlab, self-organizing map, visualization
Vigário, R. & Oja, E.
Independent Component Analysis of Human Brain Waves.
International Work-Conference on Artificial and Natural Neural Networks (IWANN'99), Alicante, Spain, June 2-4, 1999. vol. II, pp. 238-247.
Keywords: brain waves, electroencephalogram, independent component analysis, magnetoencephalogram
Vigário, R., Särelä, J. & Oja, E.
Independent Component Analysis in Wave Decomposition of Auditory and Somatosensory Evoked Fields.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 167-172.
Keywords: auditory, evoked fields, ICA, MEG, somatosensory
Vuori, V., Laaksonen, J., Oja, E. & Kangas, J.
On-line Adaptation in Recognition of Handwritten Alphanumeric Characters.
5th International Conference on Document Analysis and Recognition (ICDAR'99), Bangalore, India, September 20-22, 1999. pp. 792-795.
Keywords: adaptation, character, handwriting, on-line, recognition
Ypma, A. & Pajunen, P.
Rotating Machine Vibration Analysis using Second-order Independent Component Analysis.
International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999. pp. 37-42.
Keywords: blind source separation, ICA, rotating machine
http://www.cis.hut.fi/research/reports/publications.1999.shtml
webmaster@mail.cis.hut.fi
Thursday, 09-Nov-2000 17:07:25 EET