# Generalized Hebbian Algorithm

## Papers overview

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2017

2017

- IEEE/RSJ International Conference on Intelligentâ€¦
- 2017

Inertial measurement units (IMUs) enable human motion measurement in any environment, which can be useful for human robotâ€¦Â (More)

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2017

2017

- 4th International Conference on Signal Processingâ€¦
- 2017

In this manuscript neural networks architecture is used for image compression. We analyzed the PCA technique with the help ofâ€¦Â (More)

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2016

2016

- 2nd International Conference on Advancedâ€¦
- 2016

By applying Generalized Hebbian Algorithm (GHA), this work deals with the problem of on-line process monitoring for aâ€¦Â (More)

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2015

2015

An Efficient VLSI Architecture for Multi-Channel Spike Sorting Using a Generalized Hebbian Algorithm

- Sensors
- 2015

A novel VLSI architecture for multi-channel online spike sorting is presented in this paper. In the architecture, the spikeâ€¦Â (More)

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2012

2012

- Sensors
- 2012

This paper presents a novel hardware architecture for principal component analysis. The architecture is based on the Generalizedâ€¦Â (More)

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2008

2008

- 8th IEEE International Conference on Computer andâ€¦
- 2008

The principal component analysis (PCA) is a data mining methodology to express multivariate data comprehensively. The PCA reducesâ€¦Â (More)

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2006

2006

- International Conference on Computer Engineeringâ€¦
- 2006

In this paper we perform image compression and face recognition using principal component analysis (PCA) and the generalizedâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- EACL
- 2006

An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset toâ€¦Â (More)

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2005

2005

- INTERSPEECH
- 2005

The Generalized Hebbian Algorithm is shown to be equivalent to Latent Semantic Analysis, and applicable to a range of LSAstyleâ€¦Â (More)

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2003

2003

- 2003

Principal component extraction is an efficient statistical tool that is applied to feature extraction, data compression, andâ€¦Â (More)

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