# Multilinear subspace learning

## Papers overview

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Review

2017

Review

2017

- IEEE Transactions on Signal Processing
- 2017

Tensors or <italic>multiway arrays</italic> are functions of three or more indices <inline-formula> <tex-math notation="LaTeXâ€¦Â (More)

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2013

2013

- 2013

Emphasizing essential concepts and system-level perspectives, this book provides a foundation for solving many of todayâ€™s mostâ€¦Â (More)

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Review

2011

Review

2011

- Pattern Recognition
- 2011

Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to aâ€¦Â (More)

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2009

2009

Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning

- IEEE Transactions on Neural Networks
- 2009

This paper proposes an uncorrelated multilinear principal component analysis (UMPCA) algorithm for unsupervised subspace learningâ€¦Â (More)

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2009

2009

- 2009

Face and gait recognition problems are challenging due to largely varying appearances, highly complex pattern distributions, andâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- IEEE Transactions on Neural Networks
- 2008

This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objectsâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- IEEE 11th International Conference on Computerâ€¦
- 2007

Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a highâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- IEEE Computer Society Conference on Computerâ€¦
- 2005

Independent components analysis (ICA) maximizes the statistical independence of the representational components of a trainingâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- NIPS
- 2005

Previous work has demonstrated that the image variations of many objects (human faces in particular) under variable lighting canâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- CVPR
- 2003

Multilinear algebra, the algebra of higher-order tensors, offers a potent mathematical framework for analyzing ensembles ofâ€¦Â (More)

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