Erkki Oja (born 22 March 1948 in Helsinki) is a Finnish computer scientist. He is a professor at the Department of Information and Computer Scienceâ€¦Â (More)

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Highly Cited

2015

Highly Cited

2015

- Denzil Ferreira, Vassilis Kostakos, Anind K. Dey
- Front. ICT
- 2015

*Correspondence: Denzil Ferreira and Vassilis Kostakos, Community Imaging Group (COMAG), Department of Computer Science andâ€¦Â (More)

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2014

2014

- Chris R. Cardwell, Lars C Stene, +42 authors Roger Charles Parslow
- 2014

Chris R Cardwell, Lars C Stene, Johnny Ludvigsson, Joachim Rosenbauer, Ondrej Cinek, Jannet Svensson, Francisco Perez-Bravoâ€¦Â (More)

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2012

2012

- Paul Honeine
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2012

Kernel principal component analysis (kernel-PCA) is an elegant nonlinear extension of one of the most used data analysis andâ€¦Â (More)

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2007

2007

- Zhirong Yang, Jorma Laaksonen
- Neurocomputing
- 2007

We present here how to construct multiplicative update rules for non-negative projections based on Ojaâ€™s iterative learning ruleâ€¦Â (More)

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2005

2005

- Zhang Yi, Mao Ye, Jiancheng Lv, Kok Kiong Tan
- IEEE Trans. Neural Networks
- 2005

The convergence of Oja's principal component analysis (PCA) learning algorithms is a difficult topic for direct study andâ€¦Â (More)

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2000

2000

We propose a new method to predict time series using the technique of Independent Component Analysis (ICA) as a preprocessingâ€¦Â (More)

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1994

1994

- Weiyong Yan, Uwe Helmke, John B. Moore
- IEEE Trans. Neural Networks
- 1994

A detailed study of Oja's learning equation in neural networks is undertaken in this paper. Not only are such fundamental issuesâ€¦Â (More)

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Highly Cited

1993

Highly Cited

1993

- Lei Xu
- Neural Networks
- 1993

Abstract-We proposed a new self-organizing net based on the principle of Least Mean Square Error Reconstruction ( LMSER ) of anâ€¦Â (More)

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Review

1992

Review

1992

- Erkki Oja
- Neural Networks
- 1992

-Many neural network realizations have been recently proposed for the statistical technique of Principal Component Analysis ( PCAâ€¦Â (More)

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1991

1991

- William R. Softky, Daniel M. Kammen
- Neural Networks
- 1991

-The Hebbian neural learning algorithm that implements Principal Component Analysis ( PCA ) can be extended for the analysis ofâ€¦Â (More)

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