# Random projection

## Papers overview

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Highly Cited

2013

Highly Cited

2013

- IEEE Journal of Selected Topics in Signalâ€¦
- 2013

Random projection algorithm is of interest for constrained optimization when the constraint set is not known in advance or theâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- Foundations of Computational Mathematics
- 2009

Many types of data and information can be described by concise models that suggest each data vector (or signal) actually has â€œfewâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- STOC
- 2008

We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data withoutâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- NIPS
- 2007

We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number Mâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- IEEE Transactions on Information Theory
- 2006

Recent results show that a relatively small number of random projections of a signal can contain most of its salient informationâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- IEEE Transactions on Knowledge and Dataâ€¦
- 2006

This paper explores the possibility of using multiplicative random projection matrices for privacy preserving distributed dataâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- ICML
- 2003

We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown toâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- KDD
- 2001

Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- PODS
- 2001

A classic result of Johnson and Lindenstrauss asserts that any set of n points in d-dimensional Euclidean space can be embeddedâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- UAI
- 2000

Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixturesâ€¦Â (More)

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