Oja's learning rule, or simply Oja's rule, named after Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificialâ€¦Â (More)

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2016

2016

- Patrick Sheridan, Chao Du, Wei D. Lu
- IEEE Transactions on Neural Networks and Learningâ€¦
- 2016

Crossbar arrays of memristive elements are investigated for the implementation of dictionary learning and sparse coding ofâ€¦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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2009

2009

- Kai Labusch, Erhardt Barth, Thomas Martinetz
- Neurocomputing
- 2009

We consider the problem of learning an unknown (overcomplete) basis from data that are generated from unknown and sparse linearâ€¦Â (More)

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2008

2008

- Kai Labusch, Erhardt Barth, Thomas Martinetz
- ESANN
- 2008

We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing theâ€¦Â (More)

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2007

2007

- Tapani Raiko, Alexander Ilin, Juha Karhunen
- ICONIP
- 2007

Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalueâ€¦Â (More)

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2007

2007

- Michael Biehl
- 2007

A model for unsupervised learning from N {dimensional data is studied. Random training examples are drawn such that theâ€¦Â (More)

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2005

2005

- Thomas Voegtlin, Peter Ford Dominey
- Neural Networks
- 2005

Connectionist networks have been criticized for their inability to represent complex structures with systematicity. That isâ€¦Â (More)

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2000

2000

- Shan Ouyang, Zheng Bao, Guisheng Liao
- IEEE Trans. Neural Netw. Learning Syst.
- 2000

A learning algorithm for the principal component analysis is developed based on the least-square minimization. The dual learningâ€¦Â (More)

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1997

1997

- JosÃ© Carlos PrÃncipe, Dongxin Xu, Chuan Wang
- ICASSP
- 1997

On-line learning rules for both Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) with Fisher criterionâ€¦Â (More)

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1996

1996

- Nicolaos B. Karayiannis
- IEEE Trans. Neural Networks
- 1996

This paper presents an unsupervised learning scheme for initializing the internal representations of feedforward neural networksâ€¦Â (More)

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