Erkki Oja

Known as: Erkki, Oja 
Erkki Oja (born 22 March 1948 in Helsinki) is a Finnish computer scientist. He is a professor at the Department of Information and Computer Science… (More)
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Topic mentions per year

Topic mentions per year

1988-2017
010203019882017

Papers overview

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Highly Cited
2015
Highly Cited
2015
*Correspondence: Denzil Ferreira and Vassilis Kostakos, Community Imaging Group (COMAG), Department of Computer Science and… (More)
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2014
2014
Chris R Cardwell, Lars C Stene, Johnny Ludvigsson, Joachim Rosenbauer, Ondrej Cinek, Jannet Svensson, Francisco Perez-Bravo… (More)
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2012
2012
  • Paul Honeine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2012
Kernel principal component analysis (kernel-PCA) is an elegant nonlinear extension of one of the most used data analysis and… (More)
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2007
2007
We present here how to construct multiplicative update rules for non-negative projections based on Oja’s iterative learning rule… (More)
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2005
2005
The convergence of Oja's principal component analysis (PCA) learning algorithms is a difficult topic for direct study and… (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 preprocessing… (More)
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1994
1994
A detailed study of Oja's learning equation in neural networks is undertaken in this paper. Not only are such fundamental issues… (More)
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Highly Cited
1993
Highly Cited
1993
Abstract-We proposed a new self-organizing net based on the principle of Least Mean Square Error Reconstruction ( LMSER ) of an… (More)
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Review
1992
Review
1992
-Many neural network realizations have been recently proposed for the statistical technique of Principal Component Analysis ( PCA… (More)
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1991
1991
-The Hebbian neural learning algorithm that implements Principal Component Analysis ( PCA ) can be extended for the analysis of… (More)
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