Helsinki University of Technology

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

Biennial report 2006-2007

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

Otaniemi, April 2008

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]

I--Adaptive Informatics Research Centre: Research Projects

• 1. Introduction PDF

Algorithms and Methods PDF

• 2. Bayesian learning of latent variable models PDF
  • 2.1 Bayesian modeling and variational learning: introduction
  • 2.2 Natural conjugate gradient in variational inference
  • 2.3 Building blocks for variational Bayesian learning
  • 2.4 Nonlinear BSS and ICA
  • 2.5 Nonlinear state-space models
  • 2.6 Non-negative blind source separation
  • 2.7 PCA in the presence of missing values
  • 2.8 Predictive uncertainty
  • 2.9 Relational models
  • 2.10 Applications to astronomy
• 3 Independent component analysis and blind source separation PDF
  • 3.1 Introduction
  • 3.2 Convergence and finite-sample behaviour of the FastICA algorithm
  • 3.3 Independent subspaces with decoupled dynamics
  • 3.4 Extending ICA for two related data sets
  • 3.5 ICA in CDMA communications
  • 3.6 Non-negative projections
  • 3.7 Climate data analysis with DSS
• 4 Modeling of relevance PDF
  • 4.1 Introduction
  • 4.2 Relevance through data fusion
  • 4.3 Relevant subtask learning
  • 4.4 Discriminative generative modeling
  • 4.5 Visualization methods
  • 4.6 Networks

Bioinformatics and Neuroinformatics PDF

• 5 Bioinformatics PDF
  • 5.1 Introduction
  • 5.2 Translational medicine on metabolical level
  • 5.3 Visualizing gene expression and interaction data
  • 5.4 Fusion of gene expression and other biological data sets
  • 5.5 Human endogenous retroviruses
• 6 Neuroinformatics PDF
  • 6.1 Introduction
  • 6.2 Reliable ICA and subspaces
  • 6.3 Towards brain correlates of natural stimuli
  • 6.4 Synchrony exploration
  • 6.5 Overview of other topics

Multimodal interfaces PDF

• 7 Content-based information retrieval and analysis PDF
  • 7.1 Introduction
  • 7.2 Benchmark tasks of natural image content analysis
  • 7.3 Interactive facial image retrieval
  • 7.4 Content analysis and change detection in earth observation images
  • 7.5 Multimodal hierarchical objects in video retrieval
  • 7.6 Semantic concept detection
  • 7.7 Shot boundary detection
  • 7.8 Video summarization
• 8 Automatic speech recognition PDF
  • 8.1 Introduction
  • 8.2 Acoustic modeling
  • 8.3 Language modeling
  • 8.4 Applications and tasks
• 9 Proactive information retrieval PDF
  • 9.1 Introduction
  • 9.2 Implicit queries from eye movements
• 10 Natural language processing PDF
  • 10.1 Unsupervised segmentation of words into morphs
  • 10.2 Morpho Challenge
  • 10.3 Emergence of linguistic features using independent component analysis

Computational Cognitive Systems PDF

• 11 Emergence of linguistic and cognitive representations PDF
  • 11.1 Introduction
  • 11.2 Research on emergence
  • 11.3 Events and projects
• 12 Learning social interactions between agents PDF
  • 12.1 Introduction
  • 12.2 Applications of multiagent reinforcement learning
  • 12.3 Meaning negotiation using simulated naming games
• 13 Learning to translate PDF
  • 13.1 Introduction
  • 13.2 Analyzing structural complexity of languages
  • 13.3 Morphology-Aware Statistical Machine Translation
  • 13.4 Self-Organizing Semantic Representations for Machine Translation
• 14 Knowledge translation and innovation using adaptive informatics PDF
  • 14.1 Introduction
  • 14.2 Statistical machine learning systems as traveling computational models
  • 14.3 Modeling and simulating practices
  • 14.4 Analysis of interdisciplinary Text Corpora
  • 14.5 Quality analysis of medical web content

Adaptive Informatics Applications PDF

• 15 Intelligent data engineering PDF
  • 15.1 Failure management with data analysis
  • 15.2 Cellular network performance analysis
  • 15.3 Predictive GSM network optimization
  • 15.4 Learning from environmental data
  • 15.5 Parsimonious signal representations in data analysis
• 16 Time series prediction PDF
  • 16.1 Introduction
  • 16.2 European Symposium on Time Series Prediction
  • 16.3 Methodology for long-term prediction of time series
  • 16.4 Nonparametric noise estimation
  • 16.5 Chemoinformatics

Individual projects PDF

• A. Approximation of an input data item by a linear mixture of SOM models
• B. Independent variable group analysis
• C. Analysis of discrete diffusion scale-spaces
• D. Feature selection for steganalysis
• E. Adaptive committee techniques

Publications of the Adaptive Informatics Research Centre PDF

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

• 17 From Data to Knowledge Research Unit PDF
  • 17.1 Finding and using patterns
  • 17.2 Data mining theory
  • 17.3 Analyzing ordered data
  • 17.4 Randomization methods in data analysis
  • 17.5 Applications
  • 17.6 Segmentation

Publications of the From Data to Knowledge Research Unit PDF