# Fractal dimension

## Papers overview

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Review

2017

Review

2017

- ICML
- 2017

The purported “black box” nature of neural networks is a barrier to adoption in applications where interpretability is essential… (More)

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Highly Cited

2004

Highly Cited

2004

- SIAM Review
- 2004

Fractal behavior and long-range dependence have been observed in an astonishing number of physical, biological, geological, and… (More)

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Highly Cited

2001

Highly Cited

2001

- 2001

The fractal dimension of a waveform represents a powerful tool for transient detection. In particular, in analysis of… (More)

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2000

Highly Cited

2000

- SBBD
- 2000

Dimensionality curse and dimensionality reduction are two key issues that have retained high interest for data mining, machine… (More)

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Highly Cited

2000

Highly Cited

2000

- KDD
- 2000

Clustering is a widely used knowledge discovery technique. It helps uncovering structures in data that were not previously known… (More)

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1999

Highly Cited

1999

- ICASSP
- 1999

The estimation of the number of people in an area under surveillance is very important for the problem of crowd monitoring. When… (More)

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1995

Highly Cited

1995

- VLDB
- 1995

We examine the estimation of selectivities for range and spatial join queries in real spatial databases. As we have shown earlier… (More)

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1994

Highly Cited

1994

- PODS
- 1994

We propose the concept of fractal dimension of a set of points, in order to quantify the deviation from the uniformity… (More)

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1993

Highly Cited

1993

- IEEE Trans. Signal Processing
- 1993

Fractals can model many classes of time-series data. The fractal dimension is an important characteristic of fractals that… (More)

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1992

Highly Cited

1992

- Pattern Recognition
- 1992

-Fractal dimension is an interesting parameter to characterize roughness in an image. It can be used in texture segmentation… (More)

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