Helsinki University of Technology

Laboratory of Computer and Information Science
Neural Networks Research Centre
From Data To Knowledge Research Unit (research projects under the CIS laboratory)

Biennial report 2004-2005

V. Könönen, K. Raivio, R. Vigário, and L. Koivisto, editors

Otaniemi, April 2006

ISSN 1796-4121 (electronic version)
ISSN 1795-5092 (printed version)

Contents

Full report as a PDF file

Contents as a PDF file

• Preface [PDF]
• Personnel [PDF]
• Awards and activities [PDF]
• Courses [PDF]
• Doctoral dissertations [PDF]
• Theses [PDF]

• 1. Introduction PDF
• 2. Independent component analysis and blind source separation PDF
  • 2.1 Introduction
  • 2.2 Finite sample behaviour of the FastICA algorithm
  • 2.3 Nonlinear ICA and BSS
  • 2.4 Denoising source separation
  • 2.5 Climate data analysis with DSS
  • 2.6 ICA and denoising source separation in CDMA communications
  • 2.7 ICA for image representations
  • 2.8 Analyzing 0-1 data
  
  
• 3. Neuroinformatics PDF
  • 3.1 Setup of the group
  • 3.2 Source localization of low- and high-amplitude alpha activity
  • 3.3 DSS extraction of the cardiac subspace in MEG
  
  
• 4. Variational Bayesian learning of generative models PDF
  • 4.1 Bayesian modeling and variational learning: introduction
  • 4.2 Theoretical improvements
  • 4.3 Building blocks for variational Bayesian learning
  • 4.4 Nonlinear and non-negative blind source separation
  • 4.5 Dynamic modelling using nonlinear state-space models
  • 4.6 Relational models
  • 4.7 Applications to astronomy
  
  
• 5. Bioinformatics PDF
  • 5.1 Introduction
  • 5.2 Yeast systems biology
  • 5.3 Comparative functional genomics
  • 5.4 Gene expression atlas
  • 5.5 Genomics of human endogenous retroviruses
• 6. Dependency exploration and learning metrics PDF
  • 6.1 Introduction
  • 6.2 Supervised unsupervised learning
  • 6.3 Dependency exploration
  • 6.4 Discriminative learning
  • 6.5 Visualization methods
• 7. Image retrieval and analysis PDF
  • 7.1 Content-based image retrieval by self-organizing maps
  • 7.2 Content-based retrieval of defect images
  • 7.3 Alterable volume flow in the use of input deformations for a massive Gaussian process smoothing
  • 7.4 Stopping criteria for nonlinear diffusion filters
• 8. Adaptive cognitive systems PDF
  • 8.1 Introduction
  • 8.2 Emergence of cognitive and conceptual representations
  • 8.3 Reinforcement learning in multiagent systems
• 9. Speech recognition PDF
  • 9.1 The speech recognition tasks and systems
  • 9.2 Acoustic modeling
  • 9.3 Language modeling
  • 9.4 Large vocabulary decoder
  • 9.5 Spoken document retrieval
• 10. Natural language processing PDF
  • 10.1 Unsupervised segmentation of words into morphs
  • 10.2 Word sense disambiguation using document maps
  • 10.3 Topically focusing language model
  • 10.4 Emergence of linguistic features using independent component analysis
  • 10.5 SOM-based analysis of words and sentences
• 11. Intelligent data engineering PDF
  • 11.1 A knowledge-based model for analysis of GSM network performance
  • 11.2 Analysis of mobile radio access network
  • 11.3 Using visualization, variable selection and feature extraction to learn from industrial data
  • 11.4 SOM in decision support
  • 11.5 Interpreting dependencies in data using the Self-Organizing Map
  • 11.6 Analysis of forest nutrition data
  • 11.7 Parsimonious signal representations in data analysis
• 12. Time series prediction PDF
  • 12.1 Introduction
  • 12.2 The CATS benchmark
  • 12.3 Methodology for long-term prediction of time series
  • 12.4 Input selection strategies
  • 12.5 Chemometry
• 13. Proactive information retrieval PDF
  • 13.1 Introduction
  • 13.2 Implicit relevance feedback from eye movements
  • 13.3 Collaborative Filtering: Inferring user interests from other available sources
  • 13.4 Application: Proactive information retrieval
• 14. Other projects PDF
  • 14.1 Adaptive committee techniques
  • 14.2 Data analysis using the Evolving Tree
  • 14.3 Independent variable group analysis
  • 14.4 Worldwide research on and using the Self-Organizing Map
  • 14.5 Self-Organizing Neural Projections
  • 14.6 Applications of the Self-Organizing Map
  
  
• Publications of the Neural Networks Research Centre PDF
• 15. From Data to Knowledge Research Unit PDF
  • 15.1 Data mining at the Pattern Discovery group
  • 15.2 Discovering orderings
  • 15.3 Theoretical aspects of data mining
  • 15.4 Extending frequent itemsets: dense itemsets and tiles
  • 15.5 Basis segmentation
  • 15.6 Data mining in bioinformatics
• Publications of the From Data to Knowledge Research Unit PDF