Erkki Oja

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Online Projective Nonnegative Matrix Factorization for Large Datasets.

[BibT_eX]

[DOI]

He Zhang

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Pairwise Clustering with t-PLSI.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching.

[BibT_eX]

[DOI]

Zhiyun Lu

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

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

[BibT_eX]

[DOI]

Neurocomputing, 2011

PicSOM Experiments in TRECVID 2011.

[BibT_eX]

[DOI]

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Non-Gaussian component analysis using Density Gradient Covariance matrix.

[BibT_eX]

[DOI]

Nima Reyhani

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Multimodal Information Collector for Content-Based Image Retrieval System.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Kullback-Leibler Divergence for Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Linear and nonlinear projective nonnegative matrix factorization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA.

[BibT_eX]

[DOI]

Dusan Sovilj

Tapani Raiko

Proceedings of the International Joint Conference on Neural Networks, 2010

Automatic Rank Determination in Projective Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Zhanxing Zhu

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Randomized Hough Transform.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Heavy-Tailed Symmetric Stochastic Neighbor Embedding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.

[BibT_eX]

[DOI]

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".

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Oja learning rule.

[BibT_eX]

[DOI]

Scholarpedia, 2008

2007

Time series prediction competition: The CATS benchmark.

[BibT_eX]

[DOI]

Neurocomputing, 2007

A family of modified projective Nonnegative Matrix Factorization algorithms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Jammer suppression in DS-CDMA arrays using independent component analysis.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2006

Performance analysis of the FastICA algorithm and Cramér-rao bounds for linear independent component analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

The evolving tree-analysis and applications.

[BibT_eX]

[DOI]

Jussi Pakkanen

Jukka Iivarinen

IEEE Trans. Neural Networks, 2006

The FastICA Algorithm Revisited: Convergence Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Exploratory analysis of climate data using source separation methods.

[BibT_eX]

[DOI]

Alexander Ilin

Neural Networks, 2006

Extraction of Components with Structured Variance.

[BibT_eX]

[DOI]

Alexander Ilin

Proceedings of the International Joint Conference on Neural Networks, 2006

Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation.

[BibT_eX]

[DOI]

Scott C. Douglas

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Comparison of BSS Methods for the Detection of <i>alpha</i>-Activity Components in EEG.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Cramer-Rao lower bound for linear independent component analysis.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Guest Editorial Special Issue on Information Theoretic Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

A "nonnegative PCA" algorithm for independent component analysis.

[BibT_eX]

[DOI]

Mark D. Plumbley

IEEE Trans. Neural Networks, 2004

Nonlinear dynamical factor analysis for state change detection.

[BibT_eX]

[DOI]

Alexander Ilin

IEEE Trans. Neural Networks, 2004

Independent component analysis and beyond.

[BibT_eX]

[DOI]

Stefan Harmeling

Luís B. Almeida

Signal Process., 2004

The Evolving Tree - A Novel Self-Organizing Network for Data Analysis.

[BibT_eX]

[DOI]

Jussi Pakkanen

Jukka Iivarinen

Neural Process. Lett., 2004

Class distributions on SOM surfaces for feature extraction and object retrieval.

[BibT_eX]

[DOI]

Neural Networks, 2004

Blind Separation of Positive Sources by Globally Convergent Gradient Search.

[BibT_eX]

[DOI]

Mark D. Plumbley

Neural Comput., 2004

Finding Clusters and Components by Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2004

Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Applications of Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

A FastICA Algorithm for Non-negative Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Task-Based User Evaluation of Content-Based Image Database Browsing Systems.

[BibT_eX]

[DOI]

Proceedings of the Image and Video Retrieval: Third International Conference, 2004

Use of Image Subset Features in Image Retrieval with Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Image and Video Retrieval: Third International Conference, 2004

2003

Independent component analysis for artefact separation in astrophysical images.

[BibT_eX]

[DOI]

Maria Funaro

Neural Networks, 2003

Introduction to Special Issue on Independent Components Analysis.

[BibT_eX]

[DOI]

Te-Won Lee

Jean-François Cardoso

Shun-ichi Amari

J. Mach. Learn. Res., 2003

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

[BibT_eX]

[DOI]

Int. J. Document Anal. Recognit., 2003

Nonlinear Blind Source Separation by Variational Bayesian Learning.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

2002

PicSOM-self-organizing image retrieval with MPEG-7 content descriptors.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2002

Unsupervised learning in neural computation.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2002

Statistical Shape Features for Content-Based Image Retrieval.

[BibT_eX]

[DOI]

Sami S. Brandt

J. Math. Imaging Vis., 2002

MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Visual Information Systems, 2002

Finding Hidden Factors UsingIndependent Component Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Class-confidence critic combining.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Independent Component Analisys.

[BibT_eX]

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

Finding Hidden Factors Using Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Texture discrimination with multidimensional distributions of signed gray-level differences.

[BibT_eX]

[DOI]

Pattern Recognit., 2001

Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2001

Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures.

[BibT_eX]

[DOI]

Visa Koivunen

Mihai Enescu

Neural Comput., 2001

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

[BibT_eX]

[DOI]

Int. J. Document Anal. Recognit., 2001

Self-Organizing Maps of Web Link Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organising Maps, 2001

Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Rejection Methods for an Adaptive Committee Classifier.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Application of Adaptive Committee Classifiers in On-Line Character Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Pattern Recognition, 2001

Independent Component Analysis

[BibT_eX]

[DOI]

Wiley, ISBN: 0-471-22131-7, 2001

2000

Independent component approach to the analysis of EEG and MEG recordings.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2000

PicSOM - content-based image retrieval with self-organizing maps.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2000

Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?

[BibT_eX]

[DOI]

Ricardo Vigário

Neural Networks, 2000

Independent component analysis: algorithms and applications.

[BibT_eX]

[DOI]

Neural Networks, 2000

Evaluating the Performance of Content-Based Image Retrieval Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Information Systems, 4th International Conference, 2000

Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Image Feature Extraction and Denoising by Sparse Coding.

[BibT_eX]

[DOI]

Patrik O. Hoyer

Pattern Anal. Appl., 1999

An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation.

[BibT_eX]

[DOI]

Xavier Giannakopoulos

Int. J. Neural Syst., 1999

Content-Based Image Retrieval Using Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Visual Information and Information Systems, 1999

Independent Component Analysis of Human Brain Waves.

[BibT_eX]

[DOI]

Ricardo Vigário

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Data analysis, visualization, and hidden factor discovery by unsupervised learning.

[BibT_eX]

[DOI]

Kimmo Kiviluoto

Proceedings of the International Joint Conference Neural Networks, 1999

PicSOM: self-organizing maps for content-based image retrieval.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive local subspace classifier in on-line recognition of handwritten characters.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

A fast algorithm for estimating overcomplete ICA bases for image windows.

[BibT_eX]

[DOI]

Razvan Cristescu

Proceedings of the International Joint Conference Neural Networks, 1999

A comparison of neural ICA algorithms using real-world data.

[BibT_eX]

[DOI]

Xavier Giannakopoulos

Proceedings of the International Joint Conference Neural Networks, 1999

On-line Adaptation in Recognition of Handwritten Alphanumeric Characters.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1998

Independent component analysis by general nonlinear Hebbian-like learning rules.

[BibT_eX]

[DOI]

Signal Process., 1998

Reduced Multidimensional Co-Occurrence Histograms in Texture Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1998

Visual feature analysis by the self-organising maps.

[BibT_eX]

[DOI]

Teuvo Kohonen

Neural Comput. Appl., 1998

Texture Classification with Single- and Multiresolution Co-Occurrence Maps.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1998

Learning Subspace Classifiers and Error-Corrective Feature Extraction.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1998

From neural learning to independent components.

[BibT_eX]

[DOI]

Neurocomputing, 1998

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

[BibT_eX]

[DOI]

Petteri Pajunen

Neurocomputing, 1998

Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

Patrik O. Hoyer

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.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Image feature extraction by sparse coding and independent component analysis.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

The Nonlinear PCA Approach to ICA.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Signal Decomposition by Fast ICA.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Independent Component Analysis for Parallel Financial Time Series.

[BibT_eX]

Kimmo Kiviluoto

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Blind separation from ε-contaminated mixtures.

[BibT_eX]

[DOI]

Proceedings of the 9th European Signal Processing Conference, 1998

1997

A class of neural networks for independent component analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

Neural and statistical classifiers-taxonomy and two case studies.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

A Fast Fixed-Point Algorithm for Independent Component Analysis.

[BibT_eX]

[DOI]

Neural Comput., 1997

The nonlinear PCA learning rule in independent component analysis.

[BibT_eX]

[DOI]

Neurocomputing, 1997

Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Kimmo Kiviluoto

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Applications of neural blind separation to signal and image processing.

[BibT_eX]

[DOI]

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Local Independent Component Analysis by the Self-Organizing Map.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

From Neural Principal Components to Neural Independent Components.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

1996

Co-occurrence map: Quantizing multidimensional texture histograms.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1996

Houghtool -- A software package for the use of the Hough transform.

[BibT_eX]

[DOI]

Heikki Kälviäinen

Petri Hirvonen

Pattern Recognit. Lett., 1996

Engineering applications of the self-organizing map.

[BibT_eX]

[DOI]

Proc. IEEE, 1996

Robust fitting by nonlinear neural units.

[BibT_eX]

[DOI]

Liuyue Wang

Neural Networks, 1996

Neural fitting: Robustness by anti-Hebbian learning.

[BibT_eX]

[DOI]

Liuyue Wang

Neurocomputing, 1996

Simple Neuron Models for Independent Component Analysis.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 1996

One-unit Learning Rules for Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Neural network and statistical perspectives of classification.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Classification with learning k-nearest neighbors.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A neuron that learns to separate one signal from a mixture of independent sources.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Optimal Texture Feature Selection for the Co-Occurrence Map.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

1995

Distortion tolerant pattern recognition based on self-organizing feature extraction.

[BibT_eX]

[DOI]

Jouko Lampinen

IEEE Trans. Neural Networks, 1995

Probabilistic and non-probabilistic Hough transforms: overview and comparisons.

[BibT_eX]

[DOI]

Image Vis. Comput., 1995

A bigradient optimization approach for robust PCA, MCA, and source separation.

[BibT_eX]

[DOI]

Liuyue Wang

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Compressing higher-order co-occurrences for texture analysis using the self-organizing map.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

Comparisons of Probabilistic and Non-probabilistic Hough Transforms.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 1994

1993

Rival penalized competitive learning for clustering analysis, RBF net, and curve detection.

[BibT_eX]

[DOI]

Adam Krzyzak

IEEE Trans. Neural Networks, 1993

1992

Modified Hebbian learning for curve and surface fitting.

[BibT_eX]

[DOI]

Ching Y. Suen

Neural Networks, 1992

Principal components, minor components, and linear neural networks.

[BibT_eX]

[DOI]

Neural Networks, 1992

Clustering properties of hierarchical self-organizing maps.

[BibT_eX]

[DOI]

Jouko Lampinen

J. Math. Imaging Vis., 1992

Further developments on RHT: basic mechanisms, algorithms, and computational complexities.

[BibT_eX]

[DOI]

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Unsupervised and supervised classifications by rival penalized competitive learning.

[BibT_eX]

[DOI]

Adam Krzyzak

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Randomized Hough transform applied to translational and rotational motion analysis.

[BibT_eX]

[DOI]

Heikki Kälviäinen

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991

Neural Nets for Dual Subspace Pattern Recognition Method.

[BibT_eX]

[DOI]

Adam Krzyzak

Int. J. Neural Syst., 1991

1990

A new curve detection method: Randomized Hough transform (RHT).

[BibT_eX]

[DOI]

Pekka Kultanen

Pattern Recognit. Lett., 1990

Detecting texture periodicity from the cooccurrence matrix.

[BibT_eX]

[DOI]

Jussi Parkkinen

K. Selkäinaho

Pattern Recognit. Lett., 1990

Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System.

[BibT_eX]

[DOI]

Pekka Kultanen

Proceedings of IAPR Workshop on Machine Vision Applications, 1990

Self-organizing hierarchical feature maps.

[BibT_eX]

[DOI]

Pasi Koikkalainen

Proceedings of the IJCNN 1990, 1990

Randomized Hough transform (RHT).

[BibT_eX]

[DOI]

Pekka Kultanen

Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Neural Networks, 1990

1989

Neural Networks, Principal Components, and Subspaces.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 1989

Fast Computation of Kohonen Self-Organization.

[BibT_eX]

[DOI]

Jouko Lampinen

Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

1988

Comparison of χ<sup>2</sup> and κ statistics in finding signal and picture periodicity.

[BibT_eX]

[DOI]

K. Selkäinaho

Jussi Parkkinen