Erkki Oja

According to our database1, Erkki Oja authored at least 155 papers between 1979 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2000, "For contributions to the theory and applications of artificial neural networks.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

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Bibliography

2016
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis.
J. Mach. Learn. Res., 2016

2015
Learning the Information Divergence.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Understanding emotional impact of images using Bayesian multiple kernel learning.
Neurocomputing, 2015

2014
Improving cluster analysis by co-initializations.
Pattern Recognition Letters, 2014

Adaptive multiplicative updates for quadratic nonnegative matrix factorization.
Neurocomputing, 2014

Medical Document Mining Combining Image Exploration and Text Characterization.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
IEEE Fellows' Class of 2013 [Society Briefs].
IEEE Comp. Int. Mag., 2013

Multiplicative Updates for Learning with Stochastic Matrices.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Consistency and asymptotic normality of FastICA and bootstrap FastICA.
Signal Processing, 2012

Quadratic nonnegative matrix factorization.
Pattern Recognition, 2012

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Online Projective Nonnegative Matrix Factorization for Large Datasets.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition.
Proceedings of the 29th International Conference on Machine Learning, 2012

Pairwise Clustering with t-PLSI.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks, 2011

GPU-accelerated and parallelized ELM ensembles for large-scale regression.
Neurocomputing, 2011

Non-Gaussian component analysis using Density Gradient Covariance matrix.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Multimodal Information Collector for Content-Based Image Retrieval System.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Kullback-Leibler Divergence for Nonnegative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Linear and nonlinear projective nonnegative matrix factorization.
IEEE Trans. Neural Networks, 2010

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA.
Proceedings of the International Joint Conference on Neural Networks, 2010

Automatic Rank Determination in Projective Nonnegative Matrix Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs.
Proceedings of the ESANN 2010, 2010

2009
Randomized Hough Transform.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Heavy-Tailed Symmetric Stochastic Neighbor Embedding.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Projective Nonnegative Matrix Factorization with α-Divergence.
Proceedings of the Artificial Neural Networks, 2009

Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.
Proceedings of the Artificial Neural Networks, 2009

2008
Corrections to "Performance Analysis of the FastICA Algorithm and CramÉr-Rao Bounds for Linear Independent Component Analysis".
IEEE Trans. Signal Processing, 2008

Oja learning rule.
Scholarpedia, 2008

2007
Time series prediction competition: The CATS benchmark.
Neurocomputing, 2007

A family of modified projective Nonnegative Matrix Factorization algorithms.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Jammer suppression in DS-CDMA arrays using independent component analysis.
IEEE Trans. Wireless Communications, 2006

Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis.
IEEE Trans. Signal Processing, 2006

The evolving tree-analysis and applications.
IEEE Trans. Neural Networks, 2006

The FastICA Algorithm Revisited: Convergence Analysis.
IEEE Trans. Neural Networks, 2006

Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound.
IEEE Trans. Neural Networks, 2006

Exploratory analysis of climate data using source separation methods.
Neural Networks, 2006

Extraction of Components with Structured Variance.
Proceedings of the International Joint Conference on Neural Networks, 2006

Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Cramer-Rao lower bound for linear independent component analysis.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Guest Editorial Special Issue on Information Theoretic Learning.
IEEE Trans. Neural Networks, 2004

A "nonnegative PCA" algorithm for independent component analysis.
IEEE Trans. Neural Networks, 2004

Nonlinear dynamical factor analysis for state change detection.
IEEE Trans. Neural Networks, 2004

Independent component analysis and beyond.
Signal Processing, 2004

The Evolving Tree - A Novel Self-Organizing Network for Data Analysis.
Neural Processing Letters, 2004

Class distributions on SOM surfaces for feature extraction and object retrieval.
Neural Networks, 2004

Blind Separation of Positive Sources by Globally Convergent Gradient Search.
Neural Computation, 2004

Finding Clusters and Components by Unsupervised Learning.
Proceedings of the Structural, 2004

Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Applications of Independent Component Analysis.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A FastICA Algorithm for Non-negative Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Task-Based User Evaluation of Content-Based Image Database Browsing Systems.
Proceedings of the Image and Video Retrieval: Third International Conference, 2004

Use of Image Subset Features in Image Retrieval with Self-Organizing Maps.
Proceedings of the Image and Video Retrieval: Third International Conference, 2004

2003
Independent component analysis for artefact separation in astrophysical images.
Neural Networks, 2003

Introduction to Special Issue on Independent Components Analysis.
J. Mach. Learn. Res., 2003

Methods for adaptive combination of classifiers with application to recognition of handwritten characters.
IJDAR, 2003

2002
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors.
IEEE Trans. Neural Networks, 2002

Unsupervised learning in neural computation.
Theor. Comput. Sci., 2002

Statistical Shape Features for Content-Based Image Retrieval.
Journal of Mathematical Imaging and Vision, 2002

MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System.
Proceedings of the Recent Advances in Visual Information Systems, 2002

Finding Hidden Factors UsingIndependent Component Analysis.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Class-confidence critic combining.
Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2002

Independent Component Analisys.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

Finding Hidden Factors Using Independent Component Analysis.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Texture discrimination with multidimensional distributions of signed gray-level differences.
Pattern Recognition, 2001

Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval.
Pattern Anal. Appl., 2001

Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures.
Neural Computation, 2001

Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters.
IJDAR, 2001

Self-Organizing Maps of Web Link Information.
Proceedings of the Advances in Self-Organising Maps, 2001

Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Rejection Methods for an Adaptive Committee Classifier.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Application of Adaptive Committee Classifiers in On-Line Character Recognition.
Proceedings of the Advances in Pattern Recognition, 2001

Independent Component Analysis
Wiley, ISBN: 0-471-22131-7, 2001

2000
Independent component approach to the analysis of EEG and MEG recordings.
IEEE Trans. Biomed. Engineering, 2000

PicSOM - content-based image retrieval with self-organizing maps.
Pattern Recognition Letters, 2000

Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?
Neural Networks, 2000

Independent component analysis: algorithms and applications.
Neural Networks, 2000

Evaluating the Performance of Content-Based Image Retrieval Systems.
Proceedings of the Advances in Visual Information Systems, 4th International Conference, 2000

Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Statistical Shape Features in Content-Based Image Retrieval.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Image Feature Extraction and Denoising by Sparse Coding.
Pattern Anal. Appl., 1999

An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation.
Int. J. Neural Syst., 1999

Content-Based Image Retrieval Using Self-Organizing Maps.
Proceedings of the Visual Information and Information Systems, 1999

Independent Component Analysis of Human Brain Waves.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Data analysis, visualization, and hidden factor discovery by unsupervised learning.
Proceedings of the International Joint Conference Neural Networks, 1999

PicSOM: self-organizing maps for content-based image retrieval.
Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive local subspace classifier in on-line recognition of handwritten characters.
Proceedings of the International Joint Conference Neural Networks, 1999

A fast algorithm for estimating overcomplete ICA bases for image windows.
Proceedings of the International Joint Conference Neural Networks, 1999

A comparison of neural ICA algorithms using real-world data.
Proceedings of the International Joint Conference Neural Networks, 1999

On-line Adaptation in Recognition of Handwritten Alphanumeric Characters.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1998
Independent component analysis by general nonlinear Hebbian-like learning rules.
Signal Processing, 1998

Reduced Multidimensional Co-Occurrence Histograms in Texture Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Visual feature analysis by the self-organising maps.
Neural Computing and Applications, 1998

Texture Classification with Single- and Multiresolution Co-Occurrence Maps.
IJPRAI, 1998

Learning Subspace Classifiers and Error-Corrective Feature Extraction.
IJPRAI, 1998

From neural learning to independent components.
Neurocomputing, 1998

The nonlinear PCA criterion in blind source separation: Relations with other approaches.
Neurocomputing, 1998

Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Reduced multidimensional histograms in color texture description.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Image feature extraction by sparse coding and independent component analysis.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

The Nonlinear PCA Approach to ICA.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Signal Decomposition by Fast ICA.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Independent Component Analysis for Parallel Financial Time Series.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Blind separation from ε-contaminated mixtures.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
A class of neural networks for independent component analysis.
IEEE Trans. Neural Networks, 1997

Neural and statistical classifiers-taxonomy and two case studies.
IEEE Trans. Neural Networks, 1997

A Fast Fixed-Point Algorithm for Independent Component Analysis.
Neural Computation, 1997

The nonlinear PCA learning rule in independent component analysis.
Neurocomputing, 1997

Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Applications of neural blind separation to signal and image processing.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Local Independent Component Analysis by the Self-Organizing Map.
Proceedings of the Artificial Neural Networks, 1997

From Neural Principal Components to Neural Independent Components.
Proceedings of the Artificial Neural Networks, 1997

1996
Co-occurrence map: Quantizing multidimensional texture histograms.
Pattern Recognition Letters, 1996

Houghtool -- A software package for the use of the Hough transform.
Pattern Recognition Letters, 1996

Robust fitting by nonlinear neural units.
Neural Networks, 1996

Neural fitting: Robustness by anti-Hebbian learning.
Neurocomputing, 1996

Simple Neuron Models for Independent Component Analysis.
Int. J. Neural Syst., 1996

One-unit Learning Rules for Independent Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Neural network and statistical perspectives of classification.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Optimal Texture Feature Selection for the Co-Occurrence Map.
Proceedings of the Artificial Neural Networks, 1996

Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification.
Proceedings of the Artificial Neural Networks, 1996

1995
Distortion tolerant pattern recognition based on self-organizing feature extraction.
IEEE Trans. Neural Networks, 1995

Probabilistic and non-probabilistic Hough transforms: overview and comparisons.
Image Vision Comput., 1995

1994
Comparisons of Probabilistic and Non-probabilistic Hough Transforms.
Proceedings of the Computer Vision, 1994

1993
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection.
IEEE Trans. Neural Networks, 1993

1992
Modified Hebbian learning for curve and surface fitting.
Neural Networks, 1992

Principal components, minor components, and linear neural networks.
Neural Networks, 1992

Clustering properties of hierarchical self-organizing maps.
Journal of Mathematical Imaging and Vision, 1992

1991
Neural Nets for Dual Subspace Pattern Recognition Method.
Int. J. Neural Syst., 1991

1990
A new curve detection method: Randomized Hough transform (RHT).
Pattern Recognition Letters, 1990

Detecting texture periodicity from the cooccurrence matrix.
Pattern Recognition Letters, 1990

Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System.
Proceedings of IAPR Workshop on Machine Vision Applications, 1990

Self-organizing hierarchical feature maps.
Proceedings of the IJCNN 1990, 1990

Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching.
Proceedings of the Neural Networks, 1990

1989
Neural Networks, Principal Components, and Subspaces.
Int. J. Neural Syst., 1989

1988
Comparison of χ2 and κ statistics in finding signal and picture periodicity.
Proceedings of the 9th International Conference on Pattern Recognition, 1988

Color analysis by learning subspaces and optical processing.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

The subspace learning algorithm as a formalism for pattern recognition and neural networks.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

Specification and implementation environment for neural networks using communicating sequential processes.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

1986
Parametric projection filter for image and signal restoration.
IEEE Trans. Acoustics, Speech, and Signal Processing, 1986

1983
The ALSM algorithm - an improved subspace method of classification.
Pattern Recognition, 1983

1979
On the Construction of Projectors Using Products of Elementary Matrices.
IEEE Trans. Computers, 1979


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