E. Oja

发表

Unsupervised Learning for Feature Extraction

J. Lampinen, E. Oja, E. Oja, 1994 .

Asymmetric multiagent reinforcement learning in pricing applications

E. Oja, V. Kononen, E. Oja, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Content-Based Image Retrvieval using Self-Organizing Maps

Jorma Laaksonen, Markus Koskela, E. Oja, 1999 .

Fast Computation of Kohonen Self-Organization

J. Lampinen, E. Oja, 1989, NATO Neurocomputing.

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

J. Karhunen, E. Oja, L. Wang, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

BSS and ICA in Neuroinformatics: From Current Practices to Open Challenges

E. Oja, R. Vigario, E. Oja, 2008, IEEE Reviews in Biomedical Engineering.

Adaptive and intelligent systems applications

E. Oja, 1999, SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269).

Neural networks – advantages and applications

E. Oja, E. Oja, 1994 .

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

E. Oja, K. Valkealahti, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Finding Hidden Factors in Large Spatiotemporal Data Sets

E. Oja, 2005, 2005 International Conference on Neural Networks and Brain.

Specification and implementation environment for neural networks using communicating sequential processes

P. Koikkalainen, E. Oja, 1988, IEEE 1988 International Conference on Neural Networks.

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

Lei Xu, E. Oja, E. Oja, 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

Fast self-organization by the probing algorithm

J. Lampinen, E. Oja, 1989, International 1989 Joint Conference on Neural Networks.

The subspace learning algorithm as a formalism for pattern recognition and neural networks

T. Kohonen, E. Oja, 1988, IEEE 1988 International Conference on Neural Networks.

Information Theoretic and Nonlinear PCA Approaches to Independent Component Analysis

J. Karhunen, E. Oja, 1998 .

Principal component analysis by homogeneous neural networks, Part I : The weighted subspace criterion

E. Oja, E. Oja, 1992 .

Neural networks and their applications: Introduction

Grigoris Antoniou, Valeri Mladenov, M. Paprzycki, 2001 .

Image compression by neural networks: a comparison study

E. Oja, Liu-Yue Wang, E. Oja, 1993, IEEE Winter Workshop on Nonlinear Digital Signal Processing.

The evolving tree, a hierarchical tool for unsupervised data analysis

E. Oja, J. Pakkanen, J. Iivarinen, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Reduced Multidimensional Texture Histograms

E. Oja, K. Valkealahti, E. Oja, 1997 .

A Theoretical Study of Serial Correlation of Spike Trains in A Second Order Neuron

E. Oja, Y. Jokinen, E. Oja, 1972 .

Predictor - Corrector Structure for Real Time Blind Separation from Noisy Mixtures

V. Koivunen, E. Oja, 1999 .

Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability

A. Ilin, E. Oja, E. Oja, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Asymptotic performance of the fastica algorithm for independent component analysis and its iprovements

P. Tichavsky, E. Oja, E. Oja, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

Independent component analysis for financial time series

E. Oja, S. Malaroiu, E. Oja, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

Optimally generalizing neural networks

Hidemitsu Ogawa, E. Oja, E. Oja, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.