Erkki Oja

Erkki Oja, Kimmo Kiviluoto, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Nonlinear PCA: Algorithms and Applications

Erkki Oja, Juha Karhunen, E. Oja, 1993 .

Independent component approach to the analysis of EEG and MEG recordings

Erkki Oja, Matti Hämäläinen, Ricardo Vigário, 2000, IEEE Transactions on Biomedical Engineering.

Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Erkki Oja, Andreas Stafylopatis, Stefanos D. Kollias, 2006 .

Comparisons of attributed graph matching algorithms for computer vision

Erkki Oja, Linda Sebastianutto, 1990 .

Independent component analysis and beyond

Erkki Oja, Luís B. Almeida, Stefan Harmeling, 2004, Signal Process..

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA

Erkki Oja, Tapani Raiko, Dusan Sovilj, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Applications of Learning and Intelligent Systems - the Finnish Technology Programme

Erkki Oja, 1995 .

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Introduction to Special Issue on Independent Components Analysis

Erkki Oja, Shun-ichi Amari, Te-Won Lee, 2003, J. Mach. Learn. Res..

Statistical Shape Features for Content-Based Image Retrieval

Erkki Oja, Jorma Laaksonen, Sami S. Brandt, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Texture discrimination with multidimensional distributions of signed gray-level differences

Erkki Oja, Matti Pietikäinen, Timo Ojala, 2001, Pattern Recognit..

Independent Component Analysis

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2001, IEEE Transactions on Neural Networks.

Principal component analysis

Erkki Oja, E. Oja, 1998 .

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition pdf

Erkki Oja, Zhirong Yang, E. Oja, 2012, ICML.

Randomized hough transform (rht) : Basic mech-anisms, algorithms, and computational complexities

Erkki Oja, Lei Xu, Lei Xu, 1993 .

Dynamically expanding context as committee adaptation method in on-line recognition of handwritten Latin characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Comparison of Neural and Statistical Classifiers - Theory and Practice

Erkki Oja, Jorma Laaksonen, Petri Koistinen, 1996 .

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

Erkki Oja, Heikki Kälviäinen, Petri Hirvonen, 1996, Pattern Recognit. Lett..

Probability Interpretation of Distributions on SOM Surfaces

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2003 .

The FastICA Algorithm Revisited: Convergence Analysis

Erkki Oja, Zhijian Yuan, E. Oja, 2006, IEEE Transactions on Neural Networks.

Content-Based Image Indexing and Retrieval: The PicSOM System

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, ICANN.

DETECTING PROCESS STATE CHANGES BY NONLINEAR BLIND SOURCE SEPARATION

Erkki Oja, Harri Valpola, Alexandre Iline, 2003 .

IEEE Fellows' Class of 2013 [Society Briefs]

Erkki Oja, E. Oja, 2013, IEEE Computational Intelligence Magazine.

Empirical evaluation of bayesian optimization in parametric tuning of chaotic systems

Erkki Oja, Alexander Ilin, Mudassar Abbas, 2016 .

Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching

Erkki Oja, Lei Xu, E. Oja, 1990, EURASIP Workshop.

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2001, Pattern Analysis & Applications.

Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms

Erkki Oja, Juha Karhunen, Ricardo Vigário, 1995 .

Visual feature analysis by the self-organising maps

Erkki Oja, Teuvo Kohonen, E. Oja, 1998, Neural Computing & Applications.

Principal Component Analysis and Whitening

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction

Erkki Oja, Zhijian Yuan, E. Oja, 2005, SCIA.

Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching

Erkki Oja, Zhirong Yang, Zhiyun Lu, 2012, ICANN.

Convolutive Mixtures and Blind Deconvolution

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

PicSOM - A Framework for Content-Based Image Database Retrieval using Self-Organizing Maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 1999 .

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk

Erkki Oja, Onur Dikmen, Zhirong Yang, 2012, NIPS.

Cramer-Rao lower bound for linear independent component analysis

Erkki Oja, Zbynek Koldovský, Petr Tichavský, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

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

Erkki Oja, Kimmo Kiviluoto, E. Oja, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

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

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2001, International Journal on Document Analysis and Recognition.

Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization

Erkki Oja, He Zhang, Zhirong Yang, 2012, ICONIP.

The evolving tree-analysis and applications

Erkki Oja, Jukka Iivarinen, Jussi Pakkanen, 2006, IEEE Transactions on Neural Networks.

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, VISUAL.

Time Series Benchmarking Competition: The CATS Benchmark

Erkki Oja, Amaury Lendasse, Olli Simula, 2004 .

Co-occurrence map: Quantizing multidimensional texture histograms

Erkki Oja, Kimmo Valkealahti, E. Oja, 1996, Pattern Recognit. Lett..

Kohonen Maps

Erkki Oja, Samuel Kaski, 1999, Encyclopedia of Machine Learning.

Oja learning rule

Erkki Oja, E. Oja, 2008, Scholarpedia.

Randomized Hough transform (RHT)

Erkki Oja, Lei Xu, P. Kultanen, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

Parametric projection filter for image and signal restoration

Erkki Oja, Hidemitsu Ogawa, 1986, IEEE Trans. Acoust. Speech Signal Process..

Self-organizing maps for visually guided collision-free navigation

Erkki Oja, J. Heikkonen, J. Heikkonen, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Unsupervised learning in neural computation

Erkki Oja, E. Oja, 2002, Theor. Comput. Sci..

Corrections to “Performance Analysis of the FastICA Algorithm and CramÉr–Rao Bounds for Linear Independent Component Analysis”

Erkki Oja, Zbynek Koldovský, Petr Tichavský, 2008, IEEE Transactions on Signal Processing.

Texture Classification with Single- and Multiresolution Co-Occurrence Maps

Erkki Oja, Kimmo Valkealahti, E. Oja, 1998, Int. J. Pattern Recognit. Artif. Intell..

Automatic Rank Determination in Projective Nonnegative Matrix Factorization

Erkki Oja, Zhanxing Zhu, Zhirong Yang, 2010, LVA/ICA.

A fast algorithm for estimating overcomplete ICA bases for image windows

Erkki Oja, Aapo Hyvärinen, Razvan Cristescu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Adaptation of Prototype Sets in On-line Recognition of Isolated Handwritten Latin Characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1999 .

Image feature extraction by sparse coding and independent component analysis

Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures

Erkki Oja, Visa Koivunen, Mihai Enescu, 2001, Neural Computation.

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

Erkki Oja, Juha Karhunen, Petteri Pajunen, 1998, Neurocomputing.

Clustering properties of hierarchical self-organizing maps

Jouko Lampinen, Erkki Oja, E. Oja, 1992, Journal of Mathematical Imaging and Vision.

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

Erkki Oja, Ricardo Vigário, E. Oja, 2000, Neural Networks.

Homogeneous Neural Networks for Principal Component Analysis

Erkki Oja, Hidemitsu Ogawa, Jaroonsakdi Wangviwattana, 1991 .

Principal component analysis by homogeneous neural networks, part II: Analysis and extentions of the learning algorithm

Erkki Oja, Hidemitsu Ogawa, Hidemitsu Ogawa, 1992 .

Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis

Erkki Oja, Tapani Ristaniemi, Juha Karhunen, 2003 .

Independent component analysis by general nonlinear Hebbian-like learning rules

Erkki Oja, Aapo Hyvärinen, E. Oja, 1998, Signal Processing.

Signal Separation by Nonlinear Hebbian Learning

Erkki Oja, Juha Karhunen, E. Oja, 1995 .

Texture subspaces

Erkki Oja, Jussi Parkkinen, E. Oja, 1987 .

One-unit Learning Rules for Independent Component Analysis

Erkki Oja, Aapo Hyvärinen, E. Oja, 1996, NIPS.

Independent Component Analysis in Wave Decomposition of Auditory Evoked Fields

Erkki Oja, Ricardo Vigário, Jaakko Särelä, 1998 .

Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

Erkki Oja, Okyay Kaynak, Ethem Alpaydin, 2003, Lecture Notes in Computer Science.

Linear and Nonlinear Projective Nonnegative Matrix Factorization

Erkki Oja, Zhirong Yang, E. Oja, 2010, IEEE Transactions on Neural Networks.

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

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, CIVR.

Blind separation from ε-contaminated mixtures

Erkki Oja, Juha Karhunen, Visa Koivunen, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Class distributions on SOM surfaces for feature extraction and object retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, Neural Networks.

Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation

Erkki Oja, Scott C. Douglas, Zhijian Yuan, 2006, ICA.

Artificial neural networks. Formal models and their applications

Erkki Oja, Janusz Kacprzyk, Włodzisław Duch, 2005 .

The PicSOM Retrieval System: Description and Evaluations

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000 .

Comparison of chi /sup 2/ and kappa statistics in finding signal and picture periodicity

Erkki Oja, Jussi Parkkinen, K. Selkäinaho, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings

Erkki Oja, Matti Hämäläinen, Ricardo Vigário, 1997, NIPS.

The 11th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAW 2010)

Erkki Oja, Sergios Theodoridis, Oscar C. Au, 2010 .

Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I

Erkki Oja, Janusz Kacprzyk, Włodzisław Duch, 2005, ICANN.

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

Erkki Oja, Adam Krzyzak, Lei Xu, 1993, IEEE Trans. Neural Networks.

Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)

Erkki Oja, Antti Honkela, Samuel Kaski, 2010 .

Projective Nonnegative Matrix Factorization with α-Divergence

Erkki Oja, Zhirong Yang, 2009, ICANN.

Patterns, clusters, and components - what data is made of

Erkki Oja, 2004 .

Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II

Erkki Oja, Janusz Kacprzyk, Włodzisław Duch, 2005, International Conference on Artificial Neural Networks.

Principal and Independent Components in Neural Networks - Recent Developments

Erkki Oja, Juha Karhunen, Liu-Yue Wang, 1995 .

Controlling on-line adaptation of a prototype-based classifier for handwritten characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Robust fitting by nonlinear neural units

Erkki Oja, Liuyue Wang, E. Oja, 1996, Neural Networks.

Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I

Erkki Oja, Andreas Stafylopatis, Stefanos Kollias, 2006, ICANN.

DYNAMICAL FACTOR ANALYSIS OF RHYTHMIC MAGNETOENCEPHALOGRAPHIC ACTIVITY

Erkki Oja, Harri Valpola, Ricardo Vigário, 2001 .

Feature extraction using an unsupervised neural network

Erkki Oja, Aapo Huvärinen, E. Oja, 1999 .

Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2004, ICPR 2004.

Finding Hidden Factors Using Independent Component Analysis

Erkki Oja, 2002, ECML.

ICA with Overcomplete Bases

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

Hybrid Artificial Intelligence Systems

Erkki Oja, Álvaro Herrero, Emilio Corchado, 2009, Lecture Notes in Computer Science.

Unsupervised Learning in Human-Computer Interfaces

Erkki Oja, Mikko Kurimo, Timo Honkela, 2003 .

Comparison of Adaptive Strategies for On-Line Character Recognition

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1998 .

Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization

Erkki Oja, Zhirong Yang, E. Oja, 2011, IEEE Transactions on Neural Networks.

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2013, ICONIP.

Detecting texture periodicity from the cooccurrence matrix

Erkki Oja, Jussi Parkkinen, K. Selkäinaho, 1990, Pattern Recognit. Lett..

Error-Corrective Feature Extraction in Handwritten Digit Recognition

Erkki Oja, Jorma Laaksonen, 1997 .

Using MPEG-7 descriptors in image retrieval with self-organizing maps

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2002, Object recognition supported by user interaction for service robots.

Guest Editorial Special Issue on Information Theoretic Learning

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE Trans. Neural Networks.

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

Erkki Oja, Juha Karhunen, Xavier Giannakopoulos, 1999, Int. J. Neural Syst..

Signal Decomposition by Fast ICA

Erkki Oja, E. Oja, 1998, ICONIP.

Evaluating the Performance of Content-Based Image Retrieval Systems

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2000, VISUAL.

Independent component analysis: algorithms and applications

Erkki Oja, Aapo Hyvärinen, E. Oja, 2000, Neural Networks.

On-line adaptation in recognition of handwritten alphanumeric characters

Erkki Oja, Jorma Laaksonen, Jari Kangas, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Independent Component Analisys

Erkki Oja, E. Oja, 2002, HIS.

Speeding up on-line recognition of handwritten characters by pruning the prototype set

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

ICA by Maximization of Nongaussianity

Erkki Oja, Juha Karhunen, Aapo Hyvärinen, 2002 .

Nonlinear dynamical factor analysis for state change detection

Erkki Oja, Alexander Ilin, Harri Valpola, 2004, IEEE Transactions on Neural Networks.

Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence pdf

Erkki Oja, Onur Dikmen, Ehsan Amid, 2015, ArXiv.

Application of Adaptive Committee Classifiers in On-Line Character Recognition

Erkki Oja, Jorma Laaksonen, Jari Kangas, 2001, ICAPR.