Laboratory of Computer and Information Science
Neural Networks Research Centre

Biennial report 2000-2001

K. Puolamäki and L. Koivisto, editors

Otaniemi, April 2002

ISBN 951-22-5867-6

The cover page as a gzipped PostScript file

The full report (without the covers) as a gzipped PostScript file [16 MB]

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Contents

• Preface [PS.GZ, PDF]
• Personnel [PS.GZ, PDF]
• Awards and activities [PS.GZ, PDF]
• Courses [PS.GZ, PDF]
• Doctoral dissertations [PS.GZ, PDF]
• Theses [PS.GZ, PDF]

I  Neural Networks Research Centre: Research Projects

• 1  Introduction [PS.GZ, PDF]
• 2  Independent component analysis and blind source separation [PS.GZ, PDF]
  Erkki Oja, Juha Karhunen, Aapo Hyvärinen, Petteri Pajunen, Ricardo Vigário, Harri Valpola, Jaakko Särelä, Ella Bingham, Mika Inki, Antti Honkela, Tapani Raiko, Karthikesh Raju, Alexander Ilin, Rãzvan Cristescu, Simona Mãlãroiu, Kimmo Kiviluoto, Mika Ilmoniemi
  • 2.1  Introduction
  • 2.2  Theoretical advances
  • 2.3  The European joint project BLISS
  • 2.4  New book: Independent Component Analysis, by A. Hyvärinen, J. Karhunen, and E. Oja (Wiley, 2001)
  • 2.5  ICA2000: the Second International Workshop on Independent Component Analysis and Blind Source Separation
• 3  Applications of independent component analysis [PS.GZ, PDF]
  Erkki Oja, Juha Karhunen, Aapo Hyvärinen, Petteri Pajunen, Ricardo Vigário, Harri Valpola, Jaakko Särelä, Ella Bingham, Mika Inki, Antti Honkela, Tapani Raiko, Karthikesh Raju, Alexander Ilin, Rãzvan Cristescu, Simona Mãlãroiu, Kimmo Kiviluoto, Mika Ilmoniemi, Mark Girolami, Ata Kabán, Maria Funaro
  • 3.1  Decision trees using independent component analysis
  • 3.2  ICA for text mining
  • 3.3  ICA for analyzing financial time series
  • 3.4  ICA for astronomical data
  • 3.5  ICA in CDMA communications
• 4  Bayesian ensemble learning of generative models [PS.GZ, PDF]
  Harri Valpola, Antti Honkela, Juha Karhunen, Tapani Raiko, Xavier Giannakopoulos, Alexander Ilin, Erkki Oja
  • 4.1  Bayesian modeling and ensemble learning
  • 4.2  Nonlinear factor analysis and independent component analysis
  • 4.3  Nonlinear dynamic state-space models
  • 4.4  Building blocks for ensemble learning
  • 4.5  Applications
• 5  Computational neuroscience [PS.GZ, PDF]
  Aapo Hyvärinen, Ella Bingham, Mika Inki, Raju Karthikesh, Patrik Hoyer, Jarmo Hurri
  • 5.1  Advances in statistical generative models
  • 5.2  Statistical models of visual processing
• 6  Biomedical data analysis [PS.GZ, PDF]
  Ricardo Vigário, Jaakko Särelä, Harri Valpola, Erkki Oja
  • 6.1  Introduction
  • 6.2  Dipole modeled ICA decomposition of evoked responses
  • 6.3  Analysis of rhythmic electromagnetical brain activity
• 7  Image analysis applications [PS.GZ, PDF]
  Erkki Oja, Jorma Laaksonen, Jukka Iivarinen, Markus Peura, Markus Koskela, Sami Laakso, Jussi Pakkanen, Ville Viitaniemi
  • 7.1  Content-based image retrieval by Self-Organizing Maps
  • 7.2  Fault analysis of running paper web
  • 7.3  Content-based retrieval of defect images
  • 7.4  Attribute trees in image analysis
• 8  On-line recognition of handwritten characters [PS.GZ, PDF]
  Vuokko Vuori, Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja
  • 8.1  Introduction
  • 8.2  Adaptive prototype-based character classifiers
  • 8.3  Adaptive committee techniques
  • 8.4  Discriminative classifiers
• 9  Self-organizing map [PS.GZ, PDF]
  Teuvo Kohonen, Merja Oja, Samuel Kaski, Panu Somervuo
  • 9.1  Self-Organizing Maps: introduction
  • 9.2  4465 Works on SOM
  • 9.3  Clustering and visualization of large protein sequence databases by means of an extension of the self-organizing map
• 10  Self-organization of very large document collections [PS.GZ, PDF]
  Teuvo Kohonen, Samuel Kaski, Krista Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela
• 11  Bioinformatics [PS.GZ, PDF]
  Samuel Kaski, Janne Nikkilä, Merja Oja
  • 11.1  Introduction
  • 11.2  SOM-based exploration of gene function
  • 11.3  Discriminative clustering of genes
• 12  Learning metrics [PS.GZ, PDF]
  Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
  • 12.1  Introduction
  • 12.2  Learning metrics for Self-Organizing Maps
  • 12.3  Discriminative clustering
  • 12.4  Discriminative clustering is vector quantization in learning metrics
• 13  Natural language modeling [PS.GZ, PDF]
  Krista Lagus and Mikko Kurimo
  • 13.1  Semantic analysis of Finnish words and sentences
  • 13.2  Topically focusing language model
• 14  Speech recognition [PS.GZ, PDF]
  Mikko Kurimo, Panu Somervuo, Vesa Siivola
  • 14.1  Acoustic modeling
  • 14.2  Language modeling
• 15  Methods for efficient utilization of SOM in data mining [PS.GZ, PDF]
  Olli Simula, Jaakko Hollmén, Esa Alhoniemi, Juha Vesanto, Johan Himberg, Markus Siponen, Jussi Ahola, Juha Parhankangas, Mika Sulkava
• 16  Data-based analysis of industrial processes [PS.GZ, PDF]
  Olli Simula, Miki Sirola, Jaakko Hollmén, Ignacío Diaz, Sampsa Laine, Esa Alhoniemi, Johan Himberg, Jussi Ahola, Jukka Parviainen, Timo Similä, Jarkko Tikka
  • 16.1  Extraction and identification of operational states of a paper machine
  • 16.2  Variable selection, feature extraction and visualization in data based process study
  • 16.3  From fault detection to fault identification with normal condition process data
  • 16.4  Decision models for computerized decision support
  • 16.5  The other projects
• 17  Data-driven analysis of telecommunication systems [PS.GZ, PDF]
  Olli Simula, Kimmo Raivio, Jaakko Hollmén, Kimmo Hätönen, Sampsa Laine, Pasi Lehtimäki, Timo Similä
  • 17.1  Introduction
  • 17.2  Analysis of mobile radio access network
  • 17.3  The use of preprocessing and visualisation techniques to analyze telecommunications data
  • 17.4  Fraud detection in mobile communications networks
• 18  Other projects [PS.GZ, PDF]
  • 18.1  Mixture density from autonomous experts
  • 18.2  Self-organizing map-based information visualization is trustworthy
  • 18.3  SOM in detecting states of sleep and wakefulness in polysomnographic data of mentally retarded persons
  • 18.4  Independent variable group analysis
  • 18.5  Modeling visual attention
• Publications of the Neural Networks Research Centre [PS.GZ, PDF]

II  From Data to Knowledge Research Unit: Research Projects under the CIS Laboratory

• 19 From Data to Knowledge Research Unit [PS.GZ, PDF]
  Heikki Mannila, Jaakko Hollmén, Jouni K. Seppänen, Kalle Korpiaho, Johanna Tikanmäki, Ella Bingham
  • 19.1  Data mining: discrete pattern discovery and probabilistic techniques
  • 19.2  Applications in bioinformatics
• Publications of the From Data to Knowledge Research Unit [PS.GZ, PDF]

http://www.cis.hut.fi/research/reports/biennial00-01/

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