# Intrinsic dimension

## Papers overview

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2018

2018

- ArXiv
- 2018

Many recently trained neural networks employ large numbers of parameters to achieve good performance. One may intuitively use the… (More)

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2011

2011

- NIPS
- 2011

Many nonparametric regressors were recently shown to converge at rates that depend only on the intrinsic dimension of data. These… (More)

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2010

2010

- IEEE Transactions on Signal Processing
- 2010

In this paper, we present multiple novel applications for local intrinsic dimension estimation. There has been much work done on… (More)

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2009

2009

- UAI
- 2009

Recent theory work has found that a special type of spatial partition tree – called a random projection tree – is adaptive to the… (More)

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2008

2008

- Neural Networks
- 2008

We perform a deeper analysis of an axiomatic approach to the concept of intrinsic dimension of a dataset proposed by us in the… (More)

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Highly Cited

2007

Highly Cited

2007

- Computational Statistics & Data Analysis
- 2007

Clustering in high-dimensional spaces is a difficult problem which is recurrent in many domains, for example in image analysis… (More)

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2004

Highly Cited

2004

- NIPS
- 2004

We propose a new method for estimating intrinsic dimension of a dataset derived by applying the principle of maximum likelihood… (More)

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Highly Cited

2002

Highly Cited

2002

- NIPS
- 2002

We propose a new algorithm to estimate the intrinsic dimensi on of data sets. The method is based on geometric properties of the… (More)

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2002

Highly Cited

2002

- Comput. Graph. Forum
- 2002

Parameterization of discrete surfaces is a fundamental and widely-used operation in graphics, required, for instance, for texture… (More)

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Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Pattern Anal. Mach. Intell.
- 2002

between the front and reverse side images due to differences between both images caused by factors like document skews, different… (More)

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